Relevant bibliographies by topics / Automated CFD Process

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automated CFD Process'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Automated CFD Process"

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Vu, Anh Ngoc, and Tung Nguyen Minh Huynh. "An automated analysis process for vertical axis wind turbine." Science and Technology Development Journal 18, no. 4 (December 30, 2015): 145–52. http://dx.doi.org/10.32508/stdj.v18i4.1000.

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This paper presents an automated process for analyzing the performance of vertical axis wind turbine (VAWT). The details of this process will be demonstrated, which include the airfoil geometry representation using CST method, a hybrid meshing process combining structured grids and unstructured grids, CFD calculation process and processing data results to calculate the power coefficient of VAWT. These processes are designed as separate modules. CFD methods used in this research is RANS 2D using Realizable k  turbulence model. Meshing process will be done on the GAMBIT software, the CFD calculations are done on commercial ANSYS FLUENT software and these processes are controlled by mathematical software MATLAB. The formulas used to calculate the power coefficient will be also introduced in this paper.
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Millot, Grégory, Olivier Scholz, Saïd Ouhamou, Mathieu Becquet, and Sébastien Magnabal. "Development of a 3D CFD aerodynamic optimization tool and application to engine air intake design." International Journal of Numerical Methods for Heat & Fluid Flow 30, no. 9 (June 6, 2019): 4219–39. http://dx.doi.org/10.1108/hff-06-2018-0276.

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PurposeThe paper deals with research activities to develop optimization workflows implying computational fluid dynamics (CFD) modelling. The purpose of this paper is to present an industrial and fully-automated optimal design tool, able to handle objectives, constraints, multi-parameters and multi-points optimization on a given CATIA CAD. The work is realized on Rapid And CostEffective Rotorcraft compound rotorcraft in the framework of the Fast RotorCraft Innovative Aircraft Demonstrator Platform (IADP) within the Clean Sky 2 programme.Design/methodology/approachThe proposed solution relies on an automated CAD-CFD workflow called through the optimization process based on surrogate-based optimization (SBO) techniques. The SBO workflow has been specifically developed.FindingsThe methodology is validated on a simple configuration (bended pipe with two parameters). Then, the process is applied on a full compound rotorcraft to minimize the flow distortion at the engine entry. The design of the experiment and the optimization loop act on seven design parameters of the air inlet and for each individual the evaluation is performed on two operation points, namely, cruise flight and hover case. Finally, the best design is analyzed and aerodynamic performances are compared with the initial design.Originality/valueThe adding value of the developed process is to deal with geometric integration conflicts addressed through a specific CAD module and the implementation of a penalty function method to manage the unsuccessful evaluation of any individual.
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Ciampoli, Fabio, John W. Chew, Shahrokh Shahpar, and Elisabeth Willocq. "Automatic Optimization of Preswirl Nozzle Design." Journal of Engineering for Gas Turbines and Power 129, no. 2 (February 1, 2006): 387–93. http://dx.doi.org/10.1115/1.2364194.

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The objective of the research described here is to develop and demonstrate use of automatic design methods for preswirl nozzles. Performance of preswirled cooling air delivery systems depends critically on the design of these nozzles which is subject to manufacturing and stress constraints. The best solution may be a compromise between cost and performance. Here it is shown that automatic optimization using computational fluid dynamics (CFD) to evaluate nozzle performance can be useful in design. A parametric geometric model of a nozzle with appropriate constraints is first defined and the CFD meshing and solution are then automated. The mesh generation is found to be the most delicate task in the whole process. Direct hill climbing (DHC) and response surface model (RSM) optimization methods have been evaluated. For the test case considered, significant nozzle performance improvements were obtained using both methods, but the RSM model was preferred.
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Peric, Milovan, and Volker Bertram. "Trends in Industry Applications of Computational Fluid Dynamics for Maritime Flows." Journal of Ship Production and Design 27, no. 04 (November 1, 2011): 194–201. http://dx.doi.org/10.5957/jspd.2011.27.4.194.

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This paper surveys developments in Computational Fluid Dynamics (CFD) applications for maritime structures (ships, propellers, and offshore structures) over the past decade. Progress is significant in integrating the process chain, particularly more automated model generation. Increased hardware power and progress in various aspects of the flow solvers allow more sophisticated applications and wider scope of applications. Selected examples taken from industry and research applications show the increasing importance of CFD in earlier design stages.
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Johnson, Engr Nnadikwe, Ikputu Woyengikuro Hilary, Okiki Esther E, and Ibe Raymond Obinna. "Design and CFD Application Value Series from Raw Natural Gas Processing to Automated Utilization Need." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 2150–56. http://dx.doi.org/10.22214/ijraset.2022.41029.

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Abstract: Fluid flow systems are common in the energy value chain and are typically complex. To assure the system's performance, understanding and control are essential. Computational fluid dynamics (CFD) is a one-of-a-kind tool that predicts fluid flow events using numerical methods. It allows you to study fluid flow patterns and access non-measurable variables. Because of the rapid advancement of computer science, CFD can currently be used to handle the bulk of industrial operations that require fluid flows. The application's scope is extensive, and the problems it can solve are diverse, spanning from process design validation and optimization to operating condition management and troubleshooting. A few experiments done by Imo State University Petroleum and Gas Lab on upstream natural gas treatment systems to downstream industrial end-use for combined heat and power plants and petrochemical furnaces will demonstrate the application of CFD in troubleshooting. Keywords: CFD, Utilization, Automated, Natural Gas
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Olivetti, Micaela, Federico Giulio Monterosso, Gianluca Marinaro, Emma Frosina, and Pietro Mazzei. "Valve Geometry and Flow Optimization through an Automated DOE Approach." Fluids 5, no. 1 (January 30, 2020): 17. http://dx.doi.org/10.3390/fluids5010017.

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The objective of this paper is to show how a completely virtual optimization approach is useful to design new geometries in order to improve the performance of industrial components, like valves. The standard approach for optimization of an industrial component, as a valve, is mainly performed with trials and errors and is based on the experience and knowledge of the engineer involved in the study. Unfortunately, this approach is time consuming and often not affordable for the industrial time-to-market. The introduction of computational fluid dynamic (CFD) tools significantly helped reducing time to market; on the other hand, the process to identify the best configuration still depends on the personal sensitivity of the engineer. Here a more general, faster and reliable approach is described, which uses a CFD code directly linked to an optimization tool. CAESES® associated with SimericsMP+® allows us to easily study many different geometrical variants and work out a design of experiments (DOE) sequence that gives evidence of the most impactful aspects of a design. Moreover, the result can be further optimized to obtain the best possible solution in terms of the constraints defined.
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Bisgaard, Jonas, Tannaz Tajsoleiman, Monica Muldbak, Thomas Rydal, Tue Rasmussen, Jakob K. Huusom, and Krist V. Gernaey. "Automated Compartment Model Development Based on Data from Flow-Following Sensor Devices." Processes 9, no. 9 (September 13, 2021): 1651. http://dx.doi.org/10.3390/pr9091651.

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Due to the heterogeneous nature of large-scale fermentation processes they cannot be modelled as ideally mixed reactors, and therefore flow models are necessary to accurately represent the processes. Computational fluid dynamics (CFD) is used more and more to derive flow fields for the modelling of bioprocesses, but the computational demands associated with simulation of multiphase systems with biokinetics still limits their wide applicability. Hence, a demand for simpler flow models persists. In this study, an approach to develop data-based flow models in the form of compartment models is presented, which utilizes axial-flow rates obtained from flow-following sensor devices in combination with a proposed procedure for automatic zoning of volume. The approach requires little experimental effort and eliminates the necessity for computational determination of inter-compartmental flow rates and manual zoning. The concept has been demonstrated in a 580 L stirred vessel, of which models have been developed for two types of impellers with varying agitation intensities. The sensor device measurements were corroborated by CFD simulations, and the performance of the developed compartment models was evaluated by comparing predicted mixing times with experimentally determined mixing times. The data-based compartment models predicted the mixing times for all examined conditions with relative errors in the range of 3–27%. The deviations were ascribed to limitations in the flow-following behavior of the sensor devices, whose sizes were relatively large compared to the examined system. The approach provides a versatile and automated flow modelling platform which can be applied to large-scale bioreactors.
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Lange, Christopher, Patrick Barthelmäs, Tobias Rosnitschek, Stephan Tremmel, and Frank Rieg. "Impact of HPC and Automated CFD Simulation Processes on Virtual Product Development—A Case Study." Applied Sciences 11, no. 14 (July 16, 2021): 6552. http://dx.doi.org/10.3390/app11146552.

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High-performance computing (HPC) enables both academia and industry to accelerate simulation-driven product development processes by providing a massively parallel computing infrastructure. In particular, the automation of high-fidelity computational fluid dynamics (CFD) analyses aided by HPC systems can be beneficial since computing time decreases while the number of significant design iterations increases. However, no studies have quantified these effects from a product development point of view yet. This article evaluates the impact of HPC and automation on product development by studying a formula student racing team as a representative example of a small or medium-sized company. Over several seasons, we accompanied the team, and provided HPC infrastructure and methods to automate their CFD simulation processes. By comparing the team’s key performance indicators (KPIs) before and after the HPC implementation, we were able to quantify a significant increase in development efficiency in both qualitative and quantitative aspects. The major aerodynamic KPI increased up to 115%. Simultaneously, the number of expedient design iterations within one season increased by 600% while utilizing HPC. These results prove the substantial benefits of HPC and automation of numerical-intensive simulation processes for product development.
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Deininger, Martina E., Maximilian von der Grün, Raul Piepereit, Sven Schneider, Thunyathep Santhanavanich, Volker Coors, and Ursula Voß. "A Continuous, Semi-Automated Workflow: From 3D City Models with Geometric Optimization and CFD Simulations to Visualization of Wind in an Urban Environment." ISPRS International Journal of Geo-Information 9, no. 11 (October 31, 2020): 657. http://dx.doi.org/10.3390/ijgi9110657.

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The concept and implementation of Smart Cities is an important approach to improve decision making as well as quality of life of the growing urban population. An essential part of this is the presentation of data from different sources within a digital city model. Wind flow at building scale has a strong impact on many health and energy issues in a city. For the analysis of urban wind, Computational Fluid Dynamics (CFD) has become an established tool, but requires specialist knowledge to prepare the geometric input during a time-consuming process. Results are available only as predefined selections of pictures or videos. In this article, a continuous, semi-automated workflow is presented, which ❶ speeds-up the preparation of CFD simulation models using a largely automated geometry optimization; and ❷ enables web-based interactive exploration of urban wind simulations to a large and diverse audience, including experts and layman. Results are evaluated based on a case study using a part of a district in Stuttgart in terms of: ➀ time saving of the CFD model preparation workflow (85% faster than the manual method), ➁ response time measurements of different data formats within the Smart City platform (3D Tiles loaded 30% faster than geoJSON using the same data representations) and ➂ protocols (3DPS provided much higher flexibility than static and 3D container API), as well as ➃ subjective user experience analysis of various visualization schemes of urban wind. Time saving for the model optimization may, however, vary depending on the data quality and the extent of the study area.
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Guo, Jinglan, and Siyuan Wang. "Multiphase Flow Coupling Behavior of Bubbles Based on Computational Fluid Dynamics during AFP Process: The Behavior Characteristics of Bubbles during AFP Process." Advances in Materials Science and Engineering 2021 (July 31, 2021): 1–12. http://dx.doi.org/10.1155/2021/3237713.

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To investigate the mechanism of the effect of process parameters on bubble flow behavior during automated fiber placement (AFP) and the relationship between the bubble and voids, mechanical properties of laminates, this paper analyzes the multiphase flow coupling behavior of the bubble and fiber formation using computational fluid dynamics (CFD) and finite element (FE) method under different AFP process parameters. The effects of AFP process parameters on bubble characteristics and fiber deformation are then discussed, respectively, including bubble displacement, maximum cross-sectional area, the lowest internal temperature of the bubble, bubble breakup, and maximum deformation of the fiber. Furthermore, the AFP and corresponding test experiments are performed to investigate the relationships between different bubble characteristics and void content, mechanical properties, mainly interlaminar shear strength (ILSS) and flexural strength (FS). The results show that the maximum cross-sectional area of bubbles is closely related to the AFP process parameters. The FS and ILSS are positively correlated with the maximum cross-sectional area. With the increase of bubble displacement and fiber maximum deformation, FS and ILSS are first increased and then decreased.
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Dissertations / Theses on the topic "Automated CFD Process"

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Augustsson, Rasmus. "Automated process of morphing a CAD geometry based on a measured point cloud." Thesis, Luleå tekniska universitet, Rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-73877.

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As part of the quality process and to assure that the product meets all geometric requirements, the produced part is measured and compared to the nominal geometry definition. If the part deviates outside given tolerances, there is a need to understand the effect on aero performance and mechanical function. Hence, a new analysis model must be created that reflects the produced shape and form of the product. The current procedure for measuring the part is to use white light scanning equipment to analyze the deviation with the scanning software GOM™. The analysis model is then created using Space claim™ and is meshed and analyzed using Ansys™ software. The objective with this thesis is to investigate the capabilities within Siemens NX™ to automate the procedure as there is a need to be more efficient and reduce lead-time.The Design Research Method is used to develop the automated procedure. This is a systematic method that identifies the task, presents possible solutions to that task and then evaluates those solutions. That workflow is repeated until a satisfying solution is found.It is found that it is possible to create an automated procedure in Siemens NX. This automated procedure requires no user interaction while running, so the lead-time is drastically reduced. The automated procedure morphs the nominal geometry to create a new surface with better resemblance to the scanned geometry. About 90% of the original surface area is outside a tolerance of 0.1mm, after the automated procedure the new surface has about 90% of the surface area inside a tolerance of 0.1mm.The limiting factor for the procedure is the skill of the developer and not the capability of the software. Therefore it is thought that the procedure could be improved to create a surface completely inside the specified tolerance, given that a more skilled developer refines the procedure.
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Cheung, Ching Chi. "Semi-automated process planning and cost estimation of turned components based on CATIA V5 Machining." Thesis, Jönköping University, JTH, Mechanical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-1304.

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To be more competitive in the market, many companies are trying to speed up the quotation process and quote more attractive prices. Therefore, they have identified a need for support in the quotation process in order to reduce the quotation lead-time and ensure a higher level of accuracy in the cost estimations. The Quotation Calculator, an application program, has been developed as part of the degree thesis which was carried out at AB Norrahammars Mekaniska Verkstad, NMW 2006/07. This Quotation Calculator can be operated to calculate the material and manufacturing costs of a new product.

NMW has recently acquired licenses for CATIA V5, Dassault Systems, for the purpose of making process planning and NC-programming more efficient. NMW wants to generate the data needed from the machining module for the cost calculations. Hence this project was initiated in order to extract data from CATIA V5 for further use in Quotation Calculator or other computer system in NMW.

This work has resulted in a system developed with a common hosted programming language to extract and transfer information. The system retrieves model geometry from CAD and information on process planning from CAM, then matches the information in the application for the purpose of cost estimation. The system once developed, is supposed to be used for every new product. For this approach, the relationship of the data from CATIA V5 and the Quotation Calculator has been analyzed.

Within this thesis, the focus is on production cost estimation. The method used here is programming in Visual Basic Editor to extract information from the machining module in CATIA V5 and then import them to Microsoft Excel. With standard operations, tables of data and several inputs, the cost calculation and hence the quotation process can be automatically implemented. This work has been generated with the Quotation Calculator. With the correct input data to process planning and this new quotation system, the machining time and the costs can be estimated more accurately and easier. The time and cost information is made available for decision making. As a result, the lead time for the quotation process will be shortened and a relatively more attractive price can be quoted to the customers.

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Arumugam, Jaikumar. "Analysis of feature interactions and generation of feature precedence network for automated process planning." Ohio : Ohio University, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1176142843.

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Neerukonda, Narender. "AUTOMATIC SETUP SELECTION AND OPERATION SEQUENCING FOR COMPUTER-AIDED MANUFACTURING SOFTWARE." Ohio University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1132668178.

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Machchhar, Raj Jiten. "Automated Model Generation and Pre-Processing to Aid Simulation-Driven Design : An implementation of Design Automation in the Product Development process." Thesis, Linköpings universitet, Maskinkonstruktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168738.

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The regulations on emissions from a combustion engine vehicle are getting tougher with increasing awareness on sustainability, requiring the exhaust after-treatment systems to constantly evolve to the changes in the legislation. To establish a leading position in the competitive market, companies must adapt to these changes within a reasonable timeframe. With Scania’s extensive focus on Simulation-driven design, the product development process at Scania is highly iterative. A considerable amount of time is spent on generating a specific model for a simulation from the existing Computer-aided Design (CAD) model and pre-processing it. Thus, the purpose of this thesis is to investigate how design and simulation teams can collectively work to automatically generate a discretized model from the existing CAD model, thereby reducing repetitive work. As an outcome of this project, a method is developed comprising of two automation modules. The first module, proposed to be used by a design engineer, automatically generates a simulation-specific model from the existing CAD model. The second module, proposed to be used by a simulation engineer, automatically discretizes the model. Based on two case study assemblies, it is shown that the proposed method is significantly robust and has the potential to reduce product development time remarkably.
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Ryskamp, Jordan David. "Developing Intelligent Engineering Collaboration Tools Through the use of Design Rationale." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2428.

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This thesis presents a new method that improves upon the existing approaches to developing collaborative tools. The new method uses automatically inferred and manually recorded design rationale to intelligently filter the information that is shared by a collaborative tool. This represents an improvement upon the existing state of the art in collaborative engineering tools. To demonstrate the viability of the method three collaborative tools were created. The first is a multi-user collaborative design environment tool named SimulPart and built upon the NX CAD package. SimulPart uses the new method to limit the amount of communication required to keep every user in synch during a multi-user co-design session. The second implementation is a visual history tool named VisiHistory that allows designers to watch time lapse videos of the creation of a design that are automatically generated using the new method. The final tool is an intelligent user directory named SmartHelp that uses the new method to allow designers to identify which of their peers have expertise in certain CAD operations. Validation was performed for each of these tools by benchmarking the tool against the leading commercial solution or industry process. The results of the validation showed that the new method does in fact offer a superior collaborative solution as it outperforms the existing tools and methods in several key collaborative metrics. As a result of this work future efforts are encouraged into both improving upon the quality of the inferred design rationale and increasing the functionality of the three tools created using the new method.
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Kos, Cristoffer, and Kristoffer Hermansson. "BUILDING AND SIMULATING DYNAMIC MODELS OF DISTRICT HEATING NETWORKS WITH MODELICA : Using Matlab to process data and automate modelling and simulation." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-36107.

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District heating systems are common in Nordic countries today and accounts for a great portion of the heat demand. In Sweden, total district heating end use in the last years has been around 50 TWh and district heating accounts for roughly 50 % of the total heat demand. Suppliers of district heating must balance demand and supply, often in large and complex networks. Heat propagation can be in the range of hours and it is not known in detail how the heat will propagate during transient conditions. A dynamic model has been developed in OpenModelica and a method for modeling, handling data, simulating and visualizing the results of a district heating network was developed using Matlab as core. Data from Mälarenergi AB, a district heating producer and grid operator, was used for validation of the model. Validation shows that the model works well in predicting heat propagation and temperature distribution in the network and that the model can be scaled up to a large number of heat exchangers and pipes. The model is robust and can handle bi-directional and reversing flows in complex ring structures. It was concluded that OpenModelica together with Matlab is a good combination for creating models of district heating networks, as a high degree of standardization and automation can be achieved. This, together with visualization of the heat propagation, makes it useful for the understanding of the district heating network during transient conditions.
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Gutiérrez, Rubert Santiago Carlos. "Análisis y procesado tecnológico del modelo sólido de una pieza para determinar sus elementos característicos de mecanizado." Doctoral thesis, Universitat Politècnica de València, 2008. http://hdl.handle.net/10251/1963.

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Una de las primeras etapas en la Planificación de Procesos asistida por ordenador, para procesos de mecanizado por arranque de material, consiste en identificar las zonas de material a eliminar en el bruto de partida para generar la pieza. El resultado es un conjunto de entidades llamadas: Elementos Característicos de Mecanizado, que tienen una clara relación con las operaciones de mecanizado. Al procedimiento de obtención automática de estas entidades se le denomina: reconocimiento automático de Elementos Característicos de Mecanizado (AFR, Automatic Feature Recognition), en el que partiendo del modelo 3D del bruto y de la pieza se establecen las entidades de trabajo adecuadas (Elementos Característicos de Mecanizado). Estas entidades contienen la información necesaria para poder llevar a cabo una Planificación de Procesos automática. A su vez, la información se va completando y ampliando a medida que se avanza en las etapas de la Planificación. En la Tesis se plantea el reconocimiento automático de Elementos Característicos de Mecanizado como una de las primeras etapas de la Planificación de Procesos, y que permite el enlace con el diseño asistido por ordenador. Este reconocimiento debe tener un planteamiento dinámico, ofreciendo distintas opciones. Su solución no debe ser una entrada estática, prefijada, para el resto de etapas de la Planificación. El proceso de reconocimiento está fuertemente influenciado por conceptos y decisiones de índole tecnológico (tipos de herramientas, movimientos característicos de los procesos, influencia del corte vinculado, ), que lo guían y que permiten obtener resultados válidos en la aplicación destino: el mecanizado. Atendiendo a este planteamiento, la Tesis ofrece una solución general y completa al proceso de reconocimiento automático de Elementos Característicos de Mecanizado, teniendo en cuenta a los llamados procesos convencionales (torneado, fresado, limado, rectificado, etc.). La solución propuesta no se restringe a piezas
Gutiérrez Rubert, SC. (2007). Análisis y procesado tecnológico del modelo sólido de una pieza para determinar sus elementos característicos de mecanizado [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/1963
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Van, Blarigan Benjamin. "Automated estimation of time and cost for determining optimal machining plans." Thesis, 2012. http://hdl.handle.net/2152/ETD-UT-2012-05-5246.

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The process of taking a solid model and producing a machined part requires the time and skillset of a range of professionals, and several hours of part review, process planning, and production. Much of this time is spent creating a methodical step-by-step process plan for creating the part from stock. The work presented here is part of a software package that performs automated process planning for a solid model. This software is capable of not only greatly decreasing the planning time for part production, but also give valuable feedback about the part to the designer, as a time and cost associated with manufacturing the part. In order to generate these parameters, we must simulate all aspects of creating the part. Presented here are models that replicate these aspects. For milling, an automatic tool selection method is presented. Given this tooling, another model uses specific information about the part to generate a tool path length. A machining simulation model calculates relevant parameters, and estimates a time for machining given the tool and tool path determined previously. This time value, along with the machining parameters, is used to estimate the wear to the tooling used in the process. Using the machining time and the tool wear a cost for the process can be determined. Other models capture the time of non-machining production times, and all times are combined with billing rates of machines and operators to present an overall cost for machining a feature on a part. If several such features are required to create the part, these models are applied to each feature, until a complete process plan has been created. Further post processing of the process plan is required. Using a list of available machines, this work considers creating the part on all machines, or any combination of these machines. Candidates for creating the part on specific machines are generated and filtered based on time and cost to keep only the best candidates. These candidates can be returned to the user, who can evaluate, and choose, one candidate. Results are presented for several example parts.
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Books on the topic "Automated CFD Process"

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1948-, Wysk Richard A., ed. An introduction to automated process planning systems. Englewood Cliffs, N.J: Prentice-Hall, 1985.

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Controlling automated manufacturing systems. London: K. Page, 1986.

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O'Grady, P. J. Controlling automated manufacturing systems. New York, NY: Chapman and Hall, 1986.

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T, Pham D., Eldukhri E. E, and Soroka A. J, eds. Intelligent production machines and systems: 2nd I*PROMS Virtual Conference, 3-14 July 2006. Amsterdam: Elsevier, 2006.

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International, Conference on Industrial Electronics Control and Instrumentation (13th 1987 Cambridge Mass ). IECON '87: Automated design and manufacturing : 1987 International Conference on Industrial Electronics, Control, and Instrumentation, 5-6 November 1987, Cambridge, Massachusetts. Bellingham, Wash., USA: SPIE--the Society of Photo-optical Instrumentation Engineers, 1987.

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T, Leondes Cornelius, ed. Computer-aided design/engineering (CAD/CAE) techniques and their applications. San Diego: Academic Press, 1993.

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O'Grady, P. J. Controlling Automated Manufacturing Systems. Springer, 2012.

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O'Grady, P. J. Controlling Automated Manufacturing Systems. Springer London, Limited, 2012.

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(Editor), Duc T. Pham, Eldaw E. Eldukhri (Editor), and Anthony J. Soroka (Editor), eds. Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006. Elsevier Science, 2007.

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(Editor), Duc T. Pham, Eldaw E. Eldukhri (Editor), and Anthony J. Soroka (Editor), eds. Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006. Elsevier Science, 2007.

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Book chapters on the topic "Automated CFD Process"

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Rong, Y. "Dynamic Approach of Computer Automatic Process Planning." In CAD/CAM Robotics and Factories of the Future, 430–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52320-5_72.

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Kowalski, Maciej, and Przemysław Zawadzki. "Tooling CAD Models Preparation Process for Automated Technology Design System." In Lecture Notes in Mechanical Engineering, 36–44. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18789-7_4.

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Weber, Moritz, and Reiner Anderl. "Ontology-Based Calculation of Complexity Metrics for Components in CAD Systems." In Lecture Notes in Mechanical Engineering, 3–11. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_1.

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AbstractThe high complexity of assemblies and components in Computer-Aided Design (CAD) leads to a high effort in the maintenance of the models and increases the time required for adjustments. Metrics indicating the complexity of a CAD Model can help to reduce it by showing the results of changes. This paper describes a concept to calculate metrics aiming to describe the extent of complexity of components in CAD systems based on an ontology-based representation in a first step. The representation is initially generated from CAD models using an automated process. This includes both a boundary representation and the history of the feature-based design. Thus, the design strategy also contributes to measuring the complexity of the component so that the same shape can lead to different complexity metrics. Semantic rules are applied to find patterns of the design and to identify and evaluate various strategies. Different metrics are proposed to indicate the particular influence factors of complexity and a single measure for the overall complexity. Furthermore, the influencing factors can also be used to allow the designer to see how to reduce the complexity of the component or assembly.
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Münker, Sören, Daniel Swoboda, Karim El Zaatari, Nehel Malhotra, Lucas Manassés Pinheiro de Souza, Amon Göppert, Chi-Guhn Lee, and Robert H. Schmitt. "CAD-Based Product Partitioning for Automated Disassembly Sequence Planning with Community Detection." In Production Processes and Product Evolution in the Age of Disruption, 570–77. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34821-1_62.

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Reisinger, Gerhard, Philipp Hold, and Wilfried Sihn. "Automated Information Supply of Worker Guidance Systems in Smart Assembly Environment." In IFIP Advances in Information and Communication Technology, 235–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_17.

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AbstractThe global megatrends of digitization and individualization substantially affect manufacturing enterprises. Assembly workers are exposed to increased process complexity resulting in physical and cognitive workload. Worker guidance systems (WGS) are used to overcome this challenge through output of information regarding what should be done, how it should be done and why it should be done. An unsolved scientific challenge in this context is efficient information supply of WGS. Information such as worker’s instruction texts, pictures or 3D representations are created by employees of the work preparation department and transferred to the WGS. Manual information supply is a time-consuming and complex process, which requires a high (non-value-adding) effort as well as comprehensive knowledge in handling 3D CAD modelling and software programming. This paper presents a novel approach to reduce the required manual effort in information supply process. A knowledge-based model is proposed that enables an automated information supply of WGS in smart assembly environment by means of algorithms and self-learning expert systems, which pursues a holistic and consistent approach without media breaks. The automated approach assists employees of work preparation department, which means they can concentrate on their essential core competencies instead of being busy, for example, creating assembly plans, instruction texts or pictures for individual WGS. Finally, the technical implementation as a software-based proof-of-concept demonstrator and sub-sequent integration into the IT environment of TU Wien Pilot Factory Industry 4.0 is outlined.
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Martin-Doñate, Cristina, Sliman Shaikheleid, Abelardo Torres-Alba, and Jorge Manuel Mercado-Colmenero. "A New Smart Web Platform for Plastic Injection Molds in Industry 4.0 Environments." In Lecture Notes in Mechanical Engineering, 309–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_49.

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AbstractThis paper presents a new smart web platform for plastic injection molds for use in industry 4.0 environments. The new platform requires as its only input the CAD model of the plastic part in a discrete format, the accuracy of the analysis, the thermoplastic material of which the part will be manufactured and the number of parts to manufacture per year. Using this information and through a fully automated process based on hybrid algorithms developed by the authors the smart platform generates an extended CAD model of the mold with additional expert information useful for industry 4.0 environments. In this way, it is possible to design a mold with uniform heat transfer, balanced ejection and a uniform filling phase of the mold cavity. The presented platform differ from other applications for mold designing in that the resulting mold meets all the geometric, functional and technological requirements of mold designing without needing CAE simulation software for its validation. The presented platform is considered as the first smart platform that does not require the interaction of the designer in the process of dimensioning and designing the different subsystems that compound the mold, being a tool to reduce time and costs in the initial phases of plastic part design and with the ability to integrate into a flexible manufacturing environment 4.0.
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Biltgen, Jacques, Sascha Lauer, Martin-Christoph Wanner, and Wilko Flügge. "Digital Geometry Recording for Automation of the One-Off Production of Pipes." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022, 267–78. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-10071-0_22.

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AbstractThe manual production in pipeline construction is often related to the fact that either the capacities for automation are lacking or the production is too individual for a simple automation solution. However, automated production would increase productivity and quality, especially in metal processing. The challenge in the manufacturing process of fitting tubes is the batch sizes of one. Nevertheless, a non-time-consuming programming solution must be found to integrate a robot-based solution economically into the production chain. Offline path planning based on CAD models would be a suitable solution. To ensure that the robot-welded seams comply with the standards, there has to be consistent quality in the seam preparations. For the final quality the direct integration of the CAD flow would be important. Due to transport and limited space, it is often impossible to use sensors to scan the piping. In case of lacking technical documentation, the pipes are still measured by hand, especially when replacing or modifying pipelines.The geometry survey is done in several steps, first a rough drawing is made on the vessel, this is then converted into a technical sketch and only later transferred to a CAD programme. There can be several days between these steps and different operators. A method will now be presented to combine these steps with the support of a tablet. For this purpose, software is used on the tablet to digitise the geometries and prepare them for further offline path planning.
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Gräßler, Iris, Michael Hieb, Daniel Roesmann, and Marc Unverzagt. "Creating Synthetic Training Data for Machine Vision Quality Gates." In Bildverarbeitung in der Automation, 95–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66769-9_7.

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AbstractManufacturing companies face the challenge of combining increasing productivity and quality standards with customer″​=oriented mass production. To achieve the required quality standards, quality controls are carried out after selected production steps. These are often visual inspections by trained personnel based on checklists. To automate visual inspection industrial, cameras and powerful machine vision algorithms are needed. Large amounts of visual training data are usually required in order to train these algorithms. However, collecting training data is time″​=consuming, especially in customer″​=oriented mass production. Synthetic training data generated by CAD tools and rendering software can alleviate the lack of available training data. Within the paper at hand, a novel approach is presented examining the use of synthetic training data in machine vision applications. The results show that synthetically generated training data used to train machine vision quality gates is fundamentally suitable. This offers great potential to relieve process and productions developers in the development of quality gates in the future.
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Lockner, Yannik, Paul Buske, Maximilian Rudack, Zahra Kheirandish, Moritz Kröger, Stoyan Stoyanov, Seyed Ruhollah Dokhanchi, et al. "Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer." In Internet of Production, 1–33. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_8-1.

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AbstractDiscontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production efficiency enhancement is given. The stages are analyzed and communal challenges are elaborated. The used approaches include both physically motivated surrogate modeling as well as the advanced use of machine learning technologies. Apt research is depicted for each stage based on demonstrator work for diverse production technologies, among them high-pressure die casting, surface engineering, plastics injection molding, open-die forging, and automated tape placement. Finally, a holistic and general framework is illustrated covering the main concepts regarding the transfer of mature models into production environments on the example of laser technologies.Increasing customer requirements regarding process stability, transparency and product quality as well as desired high production efficiency in diverse manufacturing processes pose high demands on production technologies. The further development of digital support systems for manufacturing technologies can contribute to meet these demands in various production settings. Especially for discontinuous production, such as injection molding and laser cutting, the joint research for different technologies helps to identify common challenges, ranging from problem identification to knowledge perpetuation after successfully installing digital tools. Workstream CRD-B2.II “Discontinuous Production” confronts this research task by use case-based joint development of transferable methods. Based on the joint definition of a standard pipeline to solve problems with digital support, various stages of this pipeline, such as data generation and collection, model training, optimization, and the development and deployment of assistance systems are actively being researched. Regarding data generation, e.g., for the high-pressure die-casting process, data acquisition and extraction approaches for machines and production lines using OPC UA are investigated to get detailed process insights. For diverse discontinuous processes and use cases, relevant production data is not directly available in sufficient quality and needs to be preprocessed. For vision systems, ptychographic methods may improve recorded data by enhancing the picture sharpness to enable the usage of inline or low-cost equipment to detect small defects. Further down the pipeline, several research activities concern the domain-specific model training and optimization tasks. Within the realm of surface technologies, machine learning is applied to predict process behavior, e.g., by predicting the particle properties in plasma spraying process or plasma intensities in the physical vapor deposition process. The injection molding process can also be modeled by data-based approaches. The modeling efficiency based on the used amount of data can furthermore be effectively reduced by using transfer learning to transfer knowledge stored in artificial neural networks from one process to the next. Successful modeling approaches can then be transferred prototypically into production. On the examples of vision-based defect classification in the tape-laying process and a process optimization assistance system in open-die forging, the realization of prototypical support systems is demonstrated. Once mature, research results and consequent digital services must be made available for integrated usage in specific production settings using relevant architecture. By the example of a microservice-based infrastructure for laser technology, a suitable and flexible implementation of a service framework is realized. The connectivity to production assets is guaranteed by state-of-the-art communication protocols. This chapter illustrates the state of research for use-case-driven development of joint approaches.
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Das, Poulomi, Rahul Rajak, and Arpita Das. "Application of AI for Computer-Aided Diagnosis System to Detect Brain Tumors." In Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning, 185–204. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2742-9.ch010.

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Early detection and proper treatment of brain tumors are imperative to prevent permanent damage to the brain even patient death. The present study proposed an AI-based computer-aided diagnosis (CAD) system that refers to the process of automated contrast enhancement followed by identifying the region of interest (ROI) and then classify ROI into benign/malignant classes using significant morphological feature selection. This tool automates the detection procedure and also reduces the manual efforts required in widespread screening of brain MRI. Simple power law transformation technique based on different performance metrics is used to automate the contrast enhancement procedure. Finally, benignancy/malignancy of brain tumor is examined by neural network classifier and its performance is assessed by well-known receiver operating characteristic method. The result of the proposed method is enterprising with very low computational time and accuracy of 87.8%. Hence, the proposed method of CAD procedure may encourage the medical practitioners to get alternative opinion.
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Conference papers on the topic "Automated CFD Process"

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Bhagat, Nitin D., Edward J. Alyanak, and Darcy Allison. "Geometry Driven High Fidelity Stability Derivatives Obtained Using Automated CFD Analysis Process." In 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-2648.

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Pegemanyfar, Nima, Michael Pfitzner, and Marco Surace. "Automated CFD Analysis Within the Preliminary Combustor Design System PRECODES Utilizing Improved Cooling Models." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27409.

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The design of state-of-the-art combustion chambers is based on a multitude of design rules. To use this knowledge more effectively and to accelerate the combustor design process an automated combustion chamber design tool is being developed within the European project INTELLECT D.M. (Integrated Lean Low Emission Combustor Design Methodology). Due to the automation of the design process the time required to set up a new preliminary combustion chamber design is reduced from weeks to hours. The development of the automated preliminary combustor design tool is described in [1]. The focus of this paper is on new developments of the design system PRECODES (preliminary combustor design system) including automated mesh generation and CFD simulation. Design rules and parameters are formalized and stored within an EXCEL database. The combustor layout process including the calculations of cooling air mass flows and the zonal layout is done automatically using this database. The layout process has to be iteratively adjusted in order to find an optimal design due to the nonlinear interdependence of some of the design variables. The EXCEL database provides information for two parametric CAD models. The first parametric model includes the flame tube, pre-diffuser, cowl, metering panel, heatshield and the casing. Therefore it is relatively complex and only used for weight approximation and visualization purposes. The second CAD model is a generic model of the flame tube providing the basis for the automatic CFD mesh generation and CFD simulations. The CAD geometry is transferred to the commercial grid generator ICEM-CFD via the ICEM internal direct CAD interface. Based on the CAD geometry a multiblock structured mesh is generated automatically. Due to the utilization of the same blocking master model for different flame tubes varying in combustor size and orientation, and size and position of the mixing holes the mesh topology differs only marginally between different designs. Thus the CFD simulations are well comparable. Different combustor configurations are generated based on input parameter changes, i.e. changing the pressure level, the zonal stoichiometry or the maximum allowable material temperatures. An overview of the present results and the potentials of applying the automated combustor design tool PRECODES is presented.
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Heidebrecht, Alexander, Tomasz Stańkowski, and David MacManus. "Parametric Geometry and CFD Process for Turbofan Nacelles." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57784.

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A parametric geometry definition for a generic turbofan nacelle was developed for use in preliminary design, based on Class-Shape Transformation curves. This takes as input a set of six intuitive variables which describe the main dimensions of a nacelle. This set is the same set of inputs as required by a preliminary nacelle design method to which the aerodynamic properties of resulting shapes were compared. An automated computational fluid simulation process was developed and implemented which generates meshes and quickly conducts an analysis of the resulting nacelle shapes using a commercial code. Several geometries were generated and analysed using this process to show whether the aerodynamic properties of the generated shapes are in line with the expected performance of a fan cowl of equal dimensions. It was found that the aerodynamic performance of the parametric fan cowls significantly exceeds predictions from an established preliminary fan cowl design method and is very close in performance to existing designs. The drag of an equivalent parametric fan cowl can therefore be used as a predictor of nacelle performance with greater accuracy than established preliminary design methods. It is therefore suited as a tool to develop improved preliminary design methods, and for studies of the design space for preliminary nacelle design.
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Gessel, Maxim, Michael Pfitzner, and Ruud Eggels. "Development of an Advanced Automated Knowledge Based Combustor Preliminary Design Process Suitable for Low NOx Combustion Systems Optimization." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-42328.

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Within the current combustor design process, the combustor performance and sizing is mainly estimated using Prelim Design Tools, which are based on empirical correlations. In order to investigate these preliminary designs in more detail, the application of CFD within the preliminary combustor design process has steadily increased. However, the generation of CFD solutions is a time consuming process, since it requires adapted CAD models and the generation of meshes before the actual CFD computations can be performed. Moreover, it has to be assured that the meshes are suitable for the computational code, which may require several iterations within the grid generation process. Next the manual setting of the boundary conditions for CFD is also prone to errors and the post-processing of the CFD results is generally time consuming. Therefore, an advanced approach of an automated preliminary combustor design process has been developed within the 7th framework of the European research project IMPACT-AE, based on the knowledge obtained in the 6th framework of the European research project INTELLECT D.M. The processes developed are based on improved and robust knowledge-based-engineering tools for modern low NOx combustor geometries. The advanced approach comprises a KBE preliminary design tool with improved Rolls-Royce in-house design rules for modern low NOx high efficiency combustors. It is based on fully featured 3-D parametric combustor models, including the pre-diffuser, the injector, the flame tube and the casing parts. An unstructured automatable meshing-tool CFS BOXERMesh is used to generate high quality meshes. Subsequent CFD analyses are performed using an unstructured Rolls-Royce in-house combustion CFD code PRECISE-UNS and the post-processing is performed using the open source tool ParaView. The choice of these tools is based on their ability to be fully automated using appropriate scripts and information. To create a strong linkage between these tools a KBE interface-tool and a database were implemented. These tools manage the individual processes fully automatically, including e.g. the transfer of geometry parameters to the CAD models; the gathering of the combustion chamber dependent boundary conditions and numerical parameters for the CFD analysis; or the generation of tool-internal automation scripts, using interface-tool input and database information. Several grid refinement studies were performed to define an automated mesh refinement strategy, using scaled cell sizes for each combustor feature. Furthermore, a mixing port diameter scaling and a detailed post-processing procedure are described.
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Angersbach, Andreas, Dieter Bestle, and Ruud Eggels. "Automated Combustor Preliminary Design Using Tools of Different Fidelity." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-94411.

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The design of a modern aero-engine combustor is a highly complex and multi-disciplinary task. The combustor design is strongly driven by severe emission regulations and ACARE 2020/2050 goals. Furthermore, new designs have to be developed within short turn-around times. This paper describes a novel approach of an automated preliminary aero-thermal design process of a rich-burn combustor combining 1D, 2D and 3D design tools in order to speed up the design loop and provide improved combustor designs in an early design stage. The automated design process includes a knowledge-based preliminary design tool, an 1D network solver, a parametric 3D geometry model, a meshing tool, and 3D-CFD analysis. At first, a preliminary combustor design is created based on industrial in-house design rules. The preliminary design tool provides a 2D geometry model and cooling layout. It is coupled with an 1D network solver to calculate the air distribution inside the combustor. The design process includes two state-of-the-art combustor cooling schemes, effusion cooling and impingement effusion cooling. An air flow model for both cooling schemes is created within the network, respectively. The computed air distribution is subsequently used to generate boundary conditions for a 3D-CFD analysis. To perform the CFD calculations, a parametric 3D geometry model of a combustor sector has been developed based on a 2D preliminary design which takes into account mixing port properties, fuel injector, and combustor wall cooling. After an automated meshing 3D-CFD computations are performed. As a result, quick automatic estimation of combustor emissions, size and efficiency can be obtained within the design process. A CFD parameter study of a mixing port variation and their effect on the emissions of NOx and soot is performed using the described layout process.
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Renner, Johan, Roland Gårdhagen, and Matts Karlsson. "Subject Specific In-Vivo CFD Estimated Aortic WSS: Comparison Between Manual and Automated Segmentation Methods." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192735.

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When making computational fluid dynamics (CFD) based estimations of wall shear stress (WSS) in the human aorta, medical image converting processes to 3D geometries are important as the result is strongly dependent on the quality of the geometry [1]. The image interpretation process or segmentation can be more or less automated; however in clinical work today the gold standard is to manually interpret the medical image information. This combined magnetic resonance imaging (MRI) and CFD method aims to estimate WSS in human arteries in-vivo as WSS is strongly linked to atherosclerosis [2]. More or less automated segmentation has been used in previous studies but normally based on a stack of 2D individually segmented slices which is combined into a 3D model [3]. The aim of this work is to compare manual 2D and automatic 3D segmentations.
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Babbini, Alberto, Gianni Orsi, and Riccardo Maleci. "Automated Approach for Reciprocating Compressor Cylinders Design." In ASME 2015 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/pvp2015-45216.

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The design of a brand new reciprocating compressor cylinder is a difficult and time expensive task, involving CAD, FEA and CFD tools, which can take several months. Following standard approach, usually several trials are needed in order to achieve the most suitable solution. Every time it is necessary to change some design/model features, all the following operations have to be repeated: modifying the CAD model; meshing the model; calculating new loads and/or boundary conditions; configuring the results analyses; post process the results. Following standard methods each described operation has to be performed manually by a user. This paper describes a method to achieve the automation of most of these manual operations, transferring the workload from human to hardware resources, with a consequent saving in time needed to achieve results and related quality. Paper will describe the process (including details about FEA and CFD analyses) to design a cylinder with this method, compared with a traditional one. The comparison will show differences in delivery time, weight and total cost (engineering + production) between the cylinders.
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Bagshaw, David, Sohail Alizadeh, Christophe Mabilat, and Leo Lewis. "CFD-FE Automation and Thermo-Fluid Characterisation of an IP Turbine Cavity." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22710.

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This paper shows a method by which the combined CFD-FE analysis process for prediction of aero engine disc temperatures and thermal growths is sped up, with relatively small computational power requirements. The method, known as the temperature influence coefficients method (Lewis et al. (2004)) is further developed into an integrated/automated system, providing a complete thermo-mechanical solution with minimal user input and which fits within aero engine design timescales. 3-D CFD solutions are produced, adiabatically and diabatically, at three key engine operating conditions, for a turbine rotor-stator cavity in a large-scale aero-engine. A standardised method is developed for characterisation of the surface and near-wall coefficients. The variation of these parameters along the disc surface is presented, showing the nature of the flow field adjacent to the disc. The paper describes the development of the automated transfer process of the coefficients into the separate axisymmetric FE model, which can then be run through any cycle. The temperature results and the process time results from the temperature influence coefficients method are compared with existing methods for a 13000 second flight cycle.
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Krueger, Susanne, and Wolfgang Maurer. "Application of Automated Optimisation to Pump Impeller Design." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-06083.

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Dominating factors in today’s pump design process are reducing time to market and increasing demands on product flexibility. With these requirements, an adaptation of the pump design process is crucial and the need for an optimisation environment is only one part. In this paper we present our semi-automated impeller design process and its integration into a fully automated optimisation environment. The setup of the workflow for both approaches including impeller design tool, mesh generation, CFD analysis, and the steering tool are described. The optimisation process starting from a set of basic designs (Designs of Experiments, DOE) over the proper optimisation to the design analysis is explained by means of a suction impeller with opposing objectives like maximising hydraulic efficiency and minimising NPSH3% values yielding different geometry solutions all being a compromise. During this process, performance values for duty point, partload and overload are evaluated by CFD. An overall efficiency parameter is defined representing the averaged efficiency of these three operating points. Suction performance can be handled differently and evaluated only for different operating points and treated either as objectives or constraints. The approach developed in this paper is finally applied for two test cases. The first example describes the design of a suction impeller which has to fit into an existing casing and limits us to the modification of the blade shape only. Objectives are overall and duty point efficiency, NPSH3% at duty point is handled as a constraint. The overall efficiency objective requires a high plateau-like efficiency from partload to overload operating condition. The classical way of an optimisation is starting with a DOE, followed by an optimisation, visualisation of the Pareto Frontier and selection of the final design. The second example requires the replacement of a suction impeller which is supposed to operate cavitation free at site conditions. Main objectives are the reduction of NPSHInc and increase of partload efficiency while maintaining NPSH3% and overall efficiency. Limitations in development time forces us to go a different way in the design process. We start with a general exploration of the parameter range and study the parameter influence on the objectives and complete the process with an optimisation for a very limited number of blade parameters to obtain the objectives.
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Ciampoli, Fabio, John W. Chew, Shahrokh Shahpar, and Elisabeth Willocq. "Automatic Optimisation of Pre-Swirl Nozzle Design." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90249.

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The objective of the research described here is to develop and demonstrate use of automatic design methods for pre-swirl nozzles. Performance of pre-swirled cooling air delivery systems depends critically on the design of these nozzles which is subject to manufacturing and stress constraints. The best solution may be a compromise between cost and performance. Here it is shown that automatic optimisation using computational fluid dynamics (CFD) to evaluate nozzle performance can be useful in design. A parametric geometric model of a nozzle with appropriate constraints is first defined and the CFD meshing and solution are then automated. The mesh generation is found to be the most delicate task in the whole process. Direct hill climbing (DHC) and response surface model (RSM) optimisation methods have been evaluated. For the test case considered, significant nozzle performance improvements were obtained using both methods, but the RSM model was preferred.
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Reports on the topic "Automated CFD Process"

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331871.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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3

Wang. PGH376V A Comprehensive Update on the Evaluation of Pipeline Weld Defects. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2008. http://dx.doi.org/10.55274/r0010920.

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Girth weld defect acceptance criteria are set and enforced in pipeline constructions per federal regulations (CFR 49 Parts 192 and 195). With the increased use of mechanized welding and AUT (Automated Ultrasonic Testing) in new pipeline constructions, alternative defect acceptance criteria based on ECA (Engineering Critical Assessment) principles are frequently used in lieu of the traditional workmanship criteria that are in the main body of API Standard 1104. Unfortunately, the current alternative defect acceptance criteria of API 1104 Appendix A has not been kept up-to-date with new linepipe materials, welding processes, and pipeline service environments. The objective of this project is to provide technical basis for updating the alternative girth weld defect acceptance criteria in API 1104 Appendix A and other similar codes and standards. There are two focus areas in this project. The first focus area is to update the alternative defect acceptance criteria to address the immediate need of pipeline constructions in the U.S., typically with pipeline longitudinal strains less than 0.5%, or alternatively termed stress-based design. The materials in the new constructions are typically of micro-alloyed type and the grades are moving higher, up to X80 and X100. These materials did not exist when the current API 1104 Appendix A was adopted. Their behavior is sufficiently different that a fresh look in the current environment is needed. The second focus area is to develop a set of procedures that may be used for determining the girth weld defect acceptance level under high longitudinal strains ( greater than 0.5% and up to 2-4%).
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4

Yunovich and Tossey. L52207 A Rapid Quality Assessment Method of Magnesium Anodes for Underground Pipeline Service. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2008. http://dx.doi.org/10.55274/r0010960.

Full text
Abstract:
Girth weld defect acceptance criteria are set and enforced in pipeline constructions per federal regulations (CFR 49 Parts 192 and 195). With the increased use of mechanized welding and AUT (Automated Ultrasonic Testing) in new pipeline constructions, alternative defect acceptance criteria based on ECA (Engineering Critical Assessment) principles are frequently used in lieu of the traditional workmanship criteria that are in the main body of API Standard 1104. Unfortunately, the current alternative defect acceptance criteria of API 1104 Appendix A has not been kept up-to-date with new linepipe materials, welding processes, and pipeline service environments. The objective of this project is to provide technical basis for updating the alternative girth weld defect acceptance criteria in API 1104 Appendix A and other similar codes and standards. There are two focus areas in this project. The first focus area is to update the alternative defect acceptance criteria to address the immediate need of pipeline constructions in the U.S., typically with pipeline longitudinal strains less than 0.5%, or alternatively termed stress-based design. The materials in the new constructions are typically of micro-alloyed type and the grades are moving higher, up to X80 and X100. These materials did not exist when the current API 1104 Appendix A was adopted. Their behavior is sufficiently different that a fresh look in the current environment is needed. The second focus area is to develop a set of procedures that may be used for determining the girth weld defect acceptance level under high longitudinal strains ( greater than 0.5% and up to 2-4%).
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5

Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wavelength imaging sensor was constructed and tested using the selected technology. The sensor was tested and algorithms for multispectral image acquisition were developed. A high speed inspection system for fresh-market carrots was built and tested. It was shown that a combination of efficient parallel processing of a DSP and a PC based host CPU in conjunction with a hierarchical classification system, yielded an inspection system capable of handling 2 carrots per second with a classification accuracy of more than 90%. The adaptive sorting technique was extensively investigated and conclusively demonstrated to reduce misclassification rates in comparison to conventional non-adaptive sorting. The adaptive classifier algorithm was modeled and reduced to a series of modules that can be added to any existing produce sorting machine. A simulation of the entire process was created in Matlab using a graphical user interface technique to promote the accessibility of the difficult theoretical subjects. Typical Grade classifiers based on k-Nearest Neighbor techniques and linear discriminants were implemented. The sample histogram, estimating the cumulative distribution function (CDF), was chosen as a characterizing feature of prototype populations, whereby the Kolmogorov-Smirnov statistic was employed as a population classifier. Simulations were run on artificial data with two-dimensions, four populations and three classes. A quantitative analysis of the adaptive classifier's dependence on population separation, training set size, and stack length determined optimal values for the different parameters involved. The technique was also applied to a real produce sorting problem, e.g. an automatic machine for sorting dates by machine vision in an Israeli date packinghouse. Extensive simulations were run on actual sorting data of dates collected over a 4 month period. In all cases, the results showed a clear reduction in classification error by using the adaptive technique versus non-adaptive sorting.
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