Academic literature on the topic 'Integrated parametric design workflow'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Integrated parametric design workflow.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Integrated parametric design workflow"
1
Wang, Tsung-Hsien, Yichun Huang, and Jihyun Park. "Development of Daylight Glare Analysis Method Using an Integrated Parametric Modelling Approach: A Comparative Study of Glare Evaluation Standards." Buildings 12, no. 11 (October 28, 2022): 1810. http://dx.doi.org/10.3390/buildings12111810.
Full textAbstract:
Conducting lighting simulations to investigate lighting performance, such as glare, is widely accepted and of particular interest in the design development stage. However, the main challenge remains in integrating lighting performance metrics into a streamlined modelling and evaluation workflow. With the advancement in digital and modelling technologies, an automatic workflow of modelling parametric design studies with lighting performance evaluation becomes feasible. This study investigates a parametric modelling approach to facilitate glare evaluation using China Green Building Standard as an example. Their glare evaluation adopted the known daylight glare index (DGI) with a revised glare source definition in the calculation. An evaluation toolkit is presented, demonstrating its applications with the sky model. Compared with DGI, the results articulate how a parametric modelling workflow can automate lighting performance evaluation and facilitate technical investigation and clarifications for glare evaluation. Through the parametric simulation studies, the differences in the limited metric scale and the sensitivity of capturing window sizes on the glare evaluation suggest future evaluation protocols for the environmental standard development.
2
Säwén, T., E. Magnusson, A. Sasic Kalagasidis, and Alexander Hollberg. "Tool characterisation framework for parametric building LCA." IOP Conference Series: Earth and Environmental Science 1078, no. 1 (September 1, 2022): 012090. http://dx.doi.org/10.1088/1755-1315/1078/1/012090.
Full textAbstract:
Abstract Connecting Life Cycle Assessment (LCA) to parametric design has been suggested as a way of facilitating performing environmental assessments in early design stages. However, no overviews of potential approaches and tools are available within recent research. Also, no characterisation frameworks adapted for parametric LCA tools are present. In order to guide the development of workflows for environmental analysis aimed at the early design stage of buildings, the goal of this paper is to provide such a framework, and to demonstrate its use by characterising a number of available LCA plug-ins for the commonly used parametric design framework Grasshopper® (GH). First, a framework for classification and characterisation of tools based on workflow, adaptability, and required user knowledge was developed. Second, a tool inventory was performed, identifying 13 parametric LCA plug-ins for GH. Finally, four of these plug-ins were further investigated using the developed evaluation framework, a user persona approach, and a simplified test case. It was found that the characterisation framework was able to differentiate tools based on the level of LCA expertise integrated in the tools, and the allocation of responsibility for data entry and interpretation. A contrast was found between streamlined tools, and tools which provide more versatility. The characterisation framework, and the resulting overview of approaches can be used to guide the future development of parametric environmental analysis frameworks.
3
Seeam, Amar, Tianxin Zheng, Yong Lu, Asif Usmani, and David Laurenson. "BIM Integrated Workflow Management and Monitoring System for Modular Buildings." International Journal of 3-D Information Modeling 2, no. 1 (January 2013): 17–28. http://dx.doi.org/10.4018/ij3dim.2013010103.
Full textAbstract:
The authors are collaborating with a manufacturer of custom built steel frame modular units which are then transported for rapid erection onsite (volumetric building system). As part of its strategy to develop modular housing, Enemetric, is taking the opportunity to develop intelligent buildings, integrating a wide range of sensors and control systems for optimising energy efficiency and directly monitoring structural health. Enemetric have recently been embracing Building Information Modeling (BIM) to improve workflow, in particular cost estimation and to simplify computer aided manufacture (CAM). By leveraging the existing data generated during the design phases, and projecting it to all other aspects of construction management, less errors are made and productivity is significantly increased. Enemetric may work on several buildings at once, and scheduling and priorities become especially important for effective workflow, and implementing Enterprise Resource Planning (ERP). The parametric nature of BIM is also very useful for improving building management, whereby real-time data collection can be logically associated with individual components of the BIM stored in a local Building Management System performing structural health monitoring and environmental monitoring and control. BIM reuse can be further employed in building simulation tools, to apply simulation assisted control strategies, in order to reduce energy consumption, and increase occupant comfort.
4
Riggio, Mariapaola, and Nancy Yen-wen Cheng. "Computation and Learning Partnerships: Lessons from Wood Architecture, Engineering, and Construction Integration." Education Sciences 11, no. 3 (March 16, 2021): 124. http://dx.doi.org/10.3390/educsci11030124.
Full textAbstract:
Examining an interdisciplinary university course for architecture, wood science, and engineering students, this paper studies how the students’ ability to master digital workflows influenced their success in learning collaborative design skills. It highlights potential challenges and opportunities posed by the introduction of new digital tools to support emerging integrated building design in both education and professional practice. The particular course focuses on the wood industry, which is rapidly changing from a very traditional to a highly innovative sector and increasingly embracing the latest technological developments in computational design, simulation, and digital fabrication. This study explores the influence of parametric design on collaboration dynamics and workflow within an interdisciplinary group of students embodying the roles of manufacturer, engineer, and architect. Student-generated data of the first three years of the class is analyzed thematically to find correlations with productive collaborations. Focusing on a stage of an evolving teaching and learning process, this analysis allows identifications of common themes and patterns, suggesting implications for practice and future research. The course highlights the need to integrate data interoperability, collaboration skill-building, and material awareness in contemporary digitally enabled architecture, engineering, and construction education. The lessons learned in this course can be of value to academic programs and professional firms involved in incorporating digital design and interdisciplinary collaboration.
5
Mahmoud, Mohamed, Ahmed Aleid, Abdulwahab Ali, and Muhammad Shahzad Kamal. "An integrated workflow to perform reservoir and completion parametric study on a shale gas reservoir." Journal of Petroleum Exploration and Production Technology 10, no. 4 (January 6, 2020): 1497–510. http://dx.doi.org/10.1007/s13202-019-00829-9.
Full textAbstract:
AbstractThe main objectives of this paper are to assess the long-term and short-term production based on both reservoir parameters and completion parameters of shale gas reservoirs. The effects of the reservoir parameters (permeability and the initial reservoir pressure) and completion parameters (fracture geometry, stimulated reservoir volume, etc.) on the short-term and long-term production of shale gas reservoirs were investigated. The currently used approach relies mainly on the decline curve analysis or analogs from a similar shale play to forecast the gas production from shale gas reservoirs. Both these approaches are not satisfactory because they are calibrated on short production history and do not assess the impact of uncertainty in reservoir and well data. For the first time, this study integrates initial production analysis, probabilistic evaluation, and sensitivity analysis to develop a robust workflow that will help in designing a sustainable production from shale gas plays. The reservoir and completion parameters were collected from different available resources, and the probability distributions of gathered uncertain data were defined. Then analytical models were used to forecast the production. Two well evaluation results are presented in this paper. Based on the results, completion parameters affected the short-term and long-term production, while the reservoir parameters controlled the long-term production. Long-term well performance was mainly controlled by the fracture half-length and fracture height, whereas other completion and reservoir parameters have an insignificant effect. Stimulation treatment design defines the initial well performance, while well placement decision defines well long-term performance. The findings of this study would help in better understanding the production performance of shale gas reservoirs, maximizing production by selecting effective completion parameters and considering the governing reservoir parameters. Moreover, it would help in accomplishing more effective stimulation treatments and define the potentiality of the basin.
6
Guerrero, Joel, Luca Mantelli, and Sahrish B. Naqvi. "Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations." Fluids 5, no. 1 (March 18, 2020): 36. http://dx.doi.org/10.3390/fluids5010036.
Full textAbstract:
In this manuscript, an automated framework dedicated to design space exploration and design optimization studies is presented. The framework integrates a set of numerical simulation, computer-aided design, numerical optimization, and data analytics tools using scripting capabilities. The tools used are open-source and freeware, and can be deployed on any platform. The main feature of the proposed methodology is the use of a cloud-based parametrical computer-aided design application, which allows the user to change any parametric variable defined in the solid model. We demonstrate the capabilities and flexibility of the framework using computational fluid dynamics applications; however, the same workflow can be used with any numerical simulation tool (e.g., a structural solver or a spread-sheet) that is able to interact via a command-line interface or using scripting languages. We conduct design space exploration and design optimization studies using quantitative and qualitative metrics, and, to reduce the high computing times and computational resources intrinsic to these kinds of studies, concurrent simulations and surrogate-based optimization are used.
7
Altundas, Yusuf Bilgin, and Nikita Chugunov. "Multiphysics fluid monitoring: Toward targeted monitoring design under uncertainty." Interpretation 6, no. 3 (August 1, 2018): SG19—SG32. http://dx.doi.org/10.1190/int-2017-0180.1.
Full textAbstract:
Properly designed multiphysics measurements program can improve the accuracy of fluid front monitoring (FFM) by combining tools with various spatial resolutions and desired contrast in time-lapse measurements, consequently enabling better sweep efficiency and increased oil recovery. We have introduced a new workflow for multiphysics FFM feasibility studies that determines the suitability of measurements considered for monitoring and enables informed decision making on where, when, and how often the measurements need to be performed. The workflow integrates petrophysically and thermodynamically consistent multiphysics responses for seismic, electromagnetic, and neutron capture measurements. We argue that, in the presence of multiple sources of uncertainty, reservoir performance should be analyzed from a 4D probabilistic standpoint, rather than just by looking at a traditional spread in cumulative production curves. Consequently, the monitoring program should be designed around our understanding of reservoir 4D probabilistic performance through consistent multiphysics modeling. We have developed a set of approaches to enable addressing both tasks on a single platform with all relevant sources of uncertainties including parametric and model uncertainties in effective medium modeling and reservoir simulation. The developed workflow is illustrated using the ISAPP Field Development Optimization Challenge benchmark data set introduced in 2017.
8
Amoruso, Fabrizio M., Udo Dietrich, and Thorsten Schuetze. "Integrated BIM-Parametric Workflow-Based Analysis of Daylight Improvement for Sustainable Renovation of an Exemplary Apartment in Seoul, Korea." Sustainability 11, no. 9 (May 12, 2019): 2699. http://dx.doi.org/10.3390/su11092699.
Full textAbstract:
More than 60% of housing in South Korea consists of mass constructed apartment neighborhoods. Due to poor quality construction materials and components, the average operative life of apartment buildings is 20 years. The rapid degradation and low maintenance condition of transparent and semi-opaque components, as well as the limited daylight access in the standard apartment layout, are cause for the lower visual comfort of occupants. This research analyzes the improvement in visual comfort for the renovation of an exemplary apartment unit in Seoul, using Building Information Modeling (BIM) and parametric environmental analysis tools. The existing apartment is virtually reconstructed with BIM software. The building model is exported to Computer-Aided Design software to execute parametric daylight analyses through environmental simulation software. An enhanced modular building envelope and apartment layout are developed to reduce the energy demand for heating, cooling, artificial lighting, and to improve visual and thermal comfort. The visual comfort analysis of the refurbished apartment results in average improvements of 15% in terms of Daylight Factor and 30% of daylight autonomy. Therefore, this research proposes, the renovation of aged Korean apartment buildings to enhance daylighting and visual comfort.
9
Papafotiou, Alexandros, Argha Namhata, Abhishek Singh, Mark Williams, Marius Jigmond, and Paul Marschall. "A workflow for parametric sensitivity analysis of heat and gas release from a deep geological repository for SF/HLW." Geological Society, London, Special Publications 482, no. 1 (September 7, 2018): 149–73. http://dx.doi.org/10.1144/sp482.2.
Full textAbstract:
AbstractA key component of the site comparison planned for the deep geological disposal of spent fuel and high-level waste (SF/HLW) in Switzerland is the assessment of the evolution of repository-induced perturbations in the repository nearfield associated with thermal effects from heat production due to radioactive decay of radionuclides, as well as gas pressures developing in the backfilled underground structures from the anaerobic corrosion of the steel waste canisters and tunnel support materials. The assessment of such effects is integrated in the site comparison through safety indicators used to evaluate repository performance. In this context, probabilistic assessments need to integrate the uncertainty of the entire ensemble of input parameters, and estimate the propagation to these indicators in a reliable and computationally efficient manner. This paper presents the development of a methodology for an indicator-based assessment of heat- and gas-induced effects in a SF/HLW repository in Opalinus Clay integrating a probabilistic treatment of parametric uncertainty. The workflow is demonstrated using preliminary data, repository configurations and indicators. Complementary simulations are presented to demonstrate the feedback to the optimization of repository design in order to mitigate repository-induced effects that can potentially compromise the safety function of the engineered and natural barriers.
10
Caetano, Inês, and António Leitão. "Integration of an algorithmic BIM approach in a traditional architecture studio." Journal of Computational Design and Engineering 6, no. 3 (November 29, 2018): 327–36. http://dx.doi.org/10.1016/j.jcde.2018.11.004.
Full textAbstract:
Abstract Algorithmic BIM (A-BIM) is a design paradigm that merges the potentialities of both Algorithmic Design (AD) and Building Information Modelling (BIM). This paper describes how the A-BIM approach was integrated into the design workflow of two traditional design studios, to develop a set of parametric facades for a residential building, from which we automatically extracted material quantities and construction details. This work demonstrates how the combination of AD with BIM influenced the whole design process and the selection of the final solution. The limitations found during the entire process are also addressed, such as tight deadlines and financial constraints. Finally, the pros and cons of using an A-BIM process compared to a traditional BIM approach are discussed, as is the implementation of this paradigm in a traditional design practice. We also show how the efficiency of the A-BIM process can be greatly increased by the use of an Integrated Development Environment for AD supporting the generation of 3D models in both Computer-Aided Design (CAD) and BIM applications. Highlights Combines algorithmic design with BIM in the context of a traditional design studio. Uses a portable CAD/BIM algorithmic tool to speed up the design exploration. Uses algorithmic design to optimize the production cost of a facade design. Automatically generates the corresponding technical documentation.
Dissertations / Theses on the topic "Integrated parametric design workflow"
1
Lee, Dong Kyu. "High energy efficient building envelope design with integrated workflow in multidisciplinary performance criteria." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47673.
Full text
2
Landis, Mark J. "Development of a Parametric Data-Driven Fixed Shading Device Design Workflow." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1553250987067742.
Full text
3
Lindstrand, Klas, and Axel Simonsson. "Optimization Workflow for Flat Slab Systems : Using Parametric Design with Visual programming." Thesis, KTH, Mekanik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230892.
Full textAbstract:
The advancement of IT and technology has enabled the development of boundary breaking tools such as Parametric design and visual programming. Structural engineering has the potential to take the advantage of this development, by implementing visual programming which with the combination of optimization algorithms can explore design proposals. This opens up new possibilities to work closer with architects in the early stages of projects to create bolder architectural and structural designs. The task of the master thesis was to create a workflow using parametric design with visual programming and including an optimization algorithm. In the workflow, an optimization process should perform structural analysis and optimization operations to find suboptimal flat slab system designs. The idea was that the workflow should be implemented in the early stages of the structural design process, where an architectural model is used as a boundary to generate suboptimal flat slab systems based on user input. Thereafter, the different generated solutions need to be evaluated and verified by an engineer before proceeding further to the final design. The result obtained from the workflow was that an optimized flat slab system with column placements could be created through an optimization process with input data including geometry, loads and element properties. This led to an approach which exploited the capabilities of using parametric design and visual programming for structural design. This meant that, the user could alter the optimization process to narrow down the generated solutions to find the optimal flat slab system based on the requirements of the project. The results of the structural analysis in the workflow was not fully satisfactory, meaning it could not be used for final design without verification. The conclusion was that parametric design in combination with visual programming and optimization algorithms could generate multiple alternative designs. These alternatives could be used as inspiration for engineers to create new structural solutions in the early stages.Framsteg inom IT och teknologi har möjliggjort utveckling av banbrytande verktyg som parametrisk design med visuell programmering. Konstruktörer har möjligheten att utnyttja denna utveckling genom att implementera visuell programmering, vilket i kombination med optimeringsalgoritmer kan generera alternativa konstruktionslösningar. Detta teknikskifte möjliggör ett närmare samarbete med arkitekter i tidiga skeden vilket kan resultera i mer vågade konstruktioner och arkitektur. Syftet med examensarbetet var att skapa ett arbetsflöde som utnyttjade parametrisk design och optimering i en visuell programmeringsmiljö som kunde utföra strukturanalys och optimering, vilket genererade optimala pelardäck med oväntade pelarplaceringar. Idén med detta var att arbetsflödet kunde implementeras i tidiga skeden med arkitekter, när den kan användas för att generera optimala pelardäck baserade på användarens indata. Därefter behöver de genererade lösningarna utvärderas och verifieras av en ingenjör, innan man fortsätter till nästa skede. Resultatet från arbetsflödet är att ett optimerat pelardäck med oväntade pelarplaceringar skapas genom en optimeringsprocess med indata innehållande geometri, laster, randvillkor och materialegenskaper. Detta arbetsflöde leder till ett angreppssätt som utnyttjar möjligheterna med parametrisk design och visuell programmering. Detta innebär att användaren kan påverka optimeringsprocessen för att smalna av resultatet för att hitta optimerade pelardäck baserade på projektets krav. Resultaten från strukturanalysen i arbetsflödet är inte helt tillförlitliga, vilket innebär att resultaten behöver verifieras. Sammanfattningsvis kan parametrisk design i kombination med visuell programmering och optimeringsalgoritmer skapa en mångfald av lösningar. Dessa alternativ kan inspirera ingenjörer att skapa nya konstruktionslösningar i tidiga skeden.
4
Sharma, Sunanda Ph D. Massachusetts Institute of Technology. "Design for the modern Prometheus : towards an integrated biodesign workflow." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106048.
Full textAbstract:
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 131-136).
Biodesign is a growing field that harnesses the re-engineering capabilities of synthetic biology and the principles of design to create functional products on a variety of scales. It is now possible to precisely modify and program living organisms to create products useful for medicine, fabrication, and more. These capabilities are today inspiring designers to consider, and design for opportunities associated with, the incorporation of biological and otherwise living matter into the built environment. Standard Computer Aided Design (CAD) software used in design and engineering often does not have resolution required for living systems, whereas many known bioCAD software do not allow for larger scales. In addition, simulations and animations are usually limited to a short timescale, and do not allow for predictive models over days or weeks. For creating environments in which living materials or systems, from bacterial biofilms to functional swarms, can intertwine with synthetically fabricated constructs, rapid prototyping software must be developed that can allow for both design and simulation in different conditions over time. This thesis is an attempt at creating a design methodology and finding a software platform for inclusion of living material systems in manufacturing of products on multiple scales. Existing biological CAD software is surveyed and applied to two case study projects engaging multiple scales (i.e. human scale, and architectural scale) for which the digital fabrication of living materials provides additional functionality and augments the biological or ecological environment. In the process, novel work is presented in the areas of apiary management and 3D printing with biology. Additionally, several computational approaches, including rule based and agent-based techniques, are applied to both projects and evaluated for accuracy and usability. This research took place in Mediated Matters newly constructed BL2 Wet Lab, and serves as a demonstration of research that lies at the intersection of additive manufacturing and synthetic biology.
by Sunanda Sharma.
S.M.
5
Awino, Hellen Rose Anyango. "Design-integrated Urban Heat Island analysis tool and workflow : development and application." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123577.
Full textAbstract:
Thesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2019"June 2019." Cataloged from PDF version of thesis.
Includes bibliographical references (pages 106-108).
The Urban Heat Island (UHI) effect is a well-studied phenomenon broadly attributed to human activities that transform open terrain into cityscapes. Among global 21st-century concerns, projected trends in population growth, urbanization, and regional climate change could exacerbate the warming in cities and intensify the UHI effect. Yet, microclimate analysis essential to assessing UHI intensity is often neglected, resulting in poor planning practices with adverse effects on health, comfort and energy use within cities. With buildings responsible for substantial quantities of global energy consumption and carbon emissions, this context demands climate-responsive design to achieve better-performing cities. The UHI effect presents an urban design challenge, but only recently has there been a platform for design workflow integration.
Despite existing engines that accurately evaluate UHI intensity in urban environments, architects, designers, and urban planners have often not incorporated such simulation into microclimate studies due to prohibitively expensive computational costs, disconnected workflows within unintuitive or unfamiliar platforms, and uncertainty about difficult-to-obtain urban climatology parameters. These hindrances cause impactful delay within the design feedback loop and often generate a lack of confidence in the simulation process and output. This thesis proposes a Computer-Aided-Design integrated graphical user interface for the Urban Weather Generator (UWG), an urban-scale climate prediction tool developed by Bruno Bueno to simulate microclimatic conditions of urban sites using operational weather station data.
The goal is to make the powerful and computationally cheap engine accessible to design workflows by incorporating it as a plugin within the conventional design software Rhinoceros-3D, and by coupling it with the Local Climate Zone classification scheme developed by urban climate experts lain Stewart and Timothy Oke to standardize quantitative physical descriptions of cities. The proposed update automates geometric parameter extraction and implements a reliable means of urban morphological parameter estimation. As a case study, an iterative urban-scale design exploration is analyzed for selected climates.
by Hellen Rose Anyango Awino.
S.M.
S.M. Massachusetts Institute of Technology, Department of Architecture
6
WELDEGIORGIS, FILMON, and ANUP RAJ DHUNGANA. "Parametric design and optimization of steel and timber truss structures : Development of a workflow for design and optimization processes in Grasshopper 3D environment." Thesis, KTH, Bro- och stålbyggnad, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277901.
Full textAbstract:
The demand for complex structures and the urge to perform more detailed structural analyses in an early stage of the project design phase has increased the use of parametric design in the construction sector, especially among architects and structural engineers. Also, an increasing demand for sustainable structures is creating pressure on engineers and architects to design optimized structures that consume as little resources as possible. Keeping these demands in mind, this thesis tries to uncover the benefits of parametric design and optimization by applying these processes to industrial roof truss structures.The primary objective of the thesis is to investigate the feasibility and reliability of parametric design and optimization processes in real-life designs. For this purpose, a parametric algorithm has been developed in the visual programming software Grasshopper 3D. The workflow performs structural analysis and design verification on a parametric FE-model using the FEA software for parametric engineering, Karamba 3D in combination with Python where standards for design verification were scripted. These procedures were developed to be applied on both steel and timber truss structures. The workflow then performs a constrained cross-sectional and geometrical optimization of the truss structures. For the optimization process, the plug-in Galapagos have been used which uses evolutionary and simulated annealing techniques.After analyses of different cases and on comparison of the results from the model response verification, the resulting models showed that the workflow and analysis procedure was capable of obtaining a solution that is more effective and as reliable as the traditional structural analysis procedures and thus can be used for real case. When used during preliminary design, the parametric design procedure displayed great potential in saving time, thus saving resources and cost which paves a promising path for implementations in this sector.
7
Salehi-Douzloo, Vahid. "An integrated approach to parametric associative design for powertrain components on the automotive industry." Thesis, University of Bath, 2012. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558865.
Full textAbstract:
The automotive engineering process is characterized by a long and complex design process which starts with the first sketches in the preliminary design phase and proceeds to the final detailed CAD and physical models. In this process, every design phase includes different process steps and tasks which are closely interconnected with each other. Therefore the different design stages demand capable Computer Aided Design (CAD) systems which are able to handle the different kinds of design information created and manipulated in the process. Currently in automotive practice, parametric and associative (PA) CAD systems are widely applied in the product development process. Such systems allow design knowledge to be embedded in CAD models by means of rules and formulae. In addition, CAD parts and assemblies can be generated faster and easier by modification of design parameters and therefore there is a possibility to create different CAD model variants which are based on the same CAD model. The four key element of the following work are (a) to identify the problems during the design process with parametric and associative (PA) methods during a three year of study and also the analysis of the literature survey. Furthermore (b) in this study the author will develop and implement a newly developed PA design approach (PARAMASS) in a ―real‖ industrial context. Beside this the following work will (c) discuss the issues which are important during the implementation of the developed PA approach in an industrial surrounding. The last key element (d) is to develop an evaluation approach for the PARAMASS approach during the application in an industrial context. In this case the author will be able to do action research in the industry and get first hand information during the accomplishment of these key elements. This thesis presents the results of a research programme carried out using the design research methodology of Blessing and Chakrabarti, aimed at understanding the difficulties and challenges faced by designers in using PA CAD systems and then developing and evaluating an integrated approach to the creation of PA CAD models in an automotive power train design context. Firstly, this thesis presents a review of the state of the art in PA design methods and approaches and also reviews previous research on the development of methodologies for the construction of PA CAD models. It then presents results of a descriptive study of the use of PA CAD tools and methods in vehicle power train design in an automotive original equipment manufacturer and in companies in its supply chain using questionnaires, interviews, tests and other field studies with a number of practising engineers. This study identified a number of issues faced by designers in the use of PA CAD tools and allowed the requirements for improved methods for the use of PA CAD tools to be formulated and indicators identified for their evaluation. Based on the results of the descriptive study a new integrated parametric associative (PA) approach for the design process of power train components was created in a prescriptive study stage. The approach, called PARAMASS, allows designers to construct and modify models in a methodical way based on three main phases: a specification phase to prepare the relevant parameters and associative relationships, a structuring phase that allows part and assembly structures to be created and a modification phase in which the created parametric and associative information can be modified and changed. The method makes extensive use of predefined structures matrix approaches adapted from the Design Structure Matrix. The prescriptive study phase of the research was followed by a second descriptive study to evaluate and investigate in both a qualitative and quantitative way the changes achieved by the PARAMASS approach. The qualitative evaluation was based on the Goal Question Metric approach and showed that there are advantages related to the reusability aspects like learning, application and acceptance of the developed integrated approach. The quantitative evaluation was based on the Use Case approach and demonstrated good advantages in applying the developed approach, but dependent on the complexity of the created parts and assemblies.
8
Hasan, Talha. "Parametric analysis of part suitability in Additive Manufacturing." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113519.
Full textAbstract:
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 79-81).
Additive Manufacturing (AM), with its bottom-up approach enables the fabrication of highly complex geometries, the combination of multiple materials to achieve specific physical properties, and the consolidation of assemblies into single parts. Although many of the prominent processes were invented 20-30 years ago, we are now seeing rapid performance improvement and the synthesis of innovative processes that greatly expand the applications of AM. That being said, there are significant barriers to entry, one being the low throughput of additive processes when compared with more conventional methods, another being the high cost of introducing AM processes into current supply chains. Identifying key use cases where AM can be of maximum benefit is pivotal to exploit its potential. This research aims to provide methodology and tools to enable rapid estimation for part suitability in AM with physics-based and predictive models. A method is presented to estimate build time for parts manufactured via the Selective Laser Sintering process, utilizing specific metrics for part geometry and machine specific parameters. Key elements of the AM cost function are identified using the estimation model, paying close attention to assessing the impact of machine cost on the final part. In summary, these tools can be expanded to allow for not only part selection in AM, but also to act as decision tools when designing equipment..
by Talha Hasan.
S.M. in Engineering and Management
9
Han, Dong-Hoon. "Built-In Self Test and Calibration of RF Systems for Parametric Failures." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14507.
Full textAbstract:
This thesis proposes a multifaceted production test and post-silicon yield enhancement framework for RF systems. The three main components of the proposed framework are the design, production test, and post-test phase of the overall integrated circuit (IC) development cycle. First, a circuit-sizing method is presented for incorporating test considerations into algorithms for automatic circuit synthesis/device resizing. The sizing problem is solved by using a cost metric that can be incorporated at minimal computational cost into existing optimization tools for manufacturing yield enhancement. Along with the circuit-sizing method introduced in the design phase, a low-cost test and diagnosis method is presented for multi-parametric faults in wireless systems. This test and diagnosis method allows accurate prediction of the end-to-end specifications as well as for the specifications of all the embedded modules. The procedure is based on application of optimized test stimulus and the use of a simple diode-based envelope detector to extract the transient test response envelope at RF signal nodes. This eliminates the need to make RF measurements using expensive standard testers. To further improve the parametric yield of RF circuits, a performance drift-aware adaptation scheme is proposed that automatically compensates for the loss of circuit performance in the presence of process variations. This work includes a diagnosis algorithm to identify faulty circuits within the system and a compensation process that adjusts tunable components to reduce the effects of performance variations. As a result, all the mentioned components contribute to producing a low-cost production test and to enhancing post-silicon parametric yield.
10
Chacón, Pérez Jonathan 1986. "Community platform management mechanisms to support integrated Learning Design." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/360849.
Full textAbstract:
This PhD Thesis contributes to the domain of Educational Technologies, and more specifically to the Learning Design (LD) research field, which focuses on supporting teachers in the creation of effective computer-supported learning activities considering the needs of their educational contexts. Research in LD has provided a myriad of tools and methods. Yet, existing tools lack collaboration support for communities of teachers engaged in learning (co-)design. Moreover, scope of tools is varied in terms of representations used, pedagogical approaches supported, and design phases targeted (from conceptualization to authoring and implementation). This diversity of tools contrasts with lack of articulation of their synergies to offer meaningful, manageable and integrated LD ecosystems for teachers and communities of teachers. This Thesis is framed in this problem area. Its guiding research question is: How can community platform management mechanisms support teachers in integrated learning design ecosystems? This question is addressed by more specific investigation towards addressing four specific research objectives. The first objective is explorative, focused on understanding needs for
management mechanisms in LD community platforms. The resulting contribution includes participation in building and evaluating LD community platforms (LdShake, Learning design Sharing and co-edition, and ILDE, Integrated Learning Design Environment) in the context of Spanish and European projects, and the identification of needs tackled in the following three research objectives.
The second objective deals with enabling flexible management of learning (co-)design processes that involve use of several LD tools. The associated contribution is a model and implementation for LD Workflows, which shape orchestrated uses of selected LD tools that can be applied to LD Projects. The third objective focuses on supporting management of multiple learning design versions in scenarios of reuse and co-design. The contribution is a model and visualization strategy based on a family tree metaphor. The fourth objective concerns the need for interoperability between co-(design) tools and platforms, and in particular focuses on design patterns as structured LD representations of
special interest because they collect repeatable good teaching practices. The contribution is a pattern ontology for computationally representing a pattern language (working case of design patterns in Computer-Supported Collaborative Learning) and a derived model together with an architecture for interoperable management of patterns across LD tooling. Contributions have been implemented in LdShake and ILDE community platforms, showing feasibility, enabling proofof-concept in significant scenarios and user studies involving teachers.Las contribuciones de esta Tesis Doctoral se enmarcan en el ámbito de las Tecnologías Educativas, y más concretamente en el campo de investigación del Diseño de Aprendizaje (LD acrónimo en inglés). Este campo se centra en dar apoyo a los profesores en la creación de actividades educativas apoyadas por ordenador teniendo en consideración sus contextos educativos. La investigación en el campo de LD ha proporcionado gran cantidad de herramientas y métodos. Sin embargo, estas herramientas todavía carecen de mecanismos que posibiliten la colaboración en comunidades de profesores involucradas en el (co-)diseño de aprendizaje. Además, el alcance de las herramientas es muy variado en cuanto a las representaciones utilizadas, los enfoques pedagógicos utilizados, y fases de diseño a las que van dirigidas (desde la conceptualización, hasta la autoría y hasta la implementación). Esta diversidad de herramientas contrasta con la falta de articulación de sus sinergias para ofrecer ecosistemas LD significativos, manejables e integrados para profesores y comunidades de profesores. Esta problemática motiva la investigación realizada en esta Tesis. La pregunta de investigación que la guía es: ¿Cómo pueden apoyar los mecanismos de gestión de plataformas comunitarias dar soporte en ecosistemas de diseño de aprendizaje integrado? Esta cuestión se aborda en la investigación más concreta de cuatro objetivos específicos. El primer objetivo es exploratorio, se centra en la comprensión de las necesidades de mecanismos de gestión en plataformas para comunidades en LD. La contribución resultante incluye la participación en la implementación y evaluación de las plataformas para comunidades en LD (LdShake, acrónimo en inglés de Learning design Sharing and co-edition, e ILDE, acrónimo en inglés de Integrated Learning Design Environment) en el contexto de proyectos españoles y europeos, así como la identificación de las necesidades abordadas en los tres siguientes objetivos de la investigación. El segundo objetivo busca permitir una gestión flexible de los procesos de (co-)diseño de aprendizaje que implique el uso de varias herramientas de LD. La contribución asociada es un modelo e implementación de los flujos de trabajo de LD (LD Workflows en inglés). Los LD Workflows se definen para permitir la representación de las herramientas de LD seleccionadas que se pueden aplicar a proyectos de LD (LD Projects, en inglés). El tercer objetivo se centra en el apoyo a la gestión de múltiples versiones de diseño de aprendizaje en escenarios de reutilización y (co-)diseño. La contribución es un modelo y una visualización basada en una metáfora del árbol familiar (family tree, en inglés). El cuarto objetivo trata la necesidad de interoperabilidad entre herramientas de (co-)diseño y plataformas de LD, y en particular, se centra en los patrones de diseño como representaciones LD estructuradas de especial interés ya que recogen buenas prácticas docentes repetibles. La contribución es una ontología de patrones que representa computacionalmente un lenguaje de patrones (centrándose en los patrones de CSCL, del inglés:Computer-Supported Collaborative Learning) y un modelo derivado junto con una arquitectura para la gestión interoperable de patrones a través de herramientas de LD. Las contribuciones se han implementado en las plataformas de comunidades de LD LdShake e ILDE mostrando su viabilidad, ofreciendo la prueba de conceptos en escenarios significativos y estudios con profesores en entornos reales.
Books on the topic "Integrated parametric design workflow"
1
Schuster, C. E. Test structure implementation document: DC parametric test structures and test methods for monolithic microwave integrated circuits (MMICs). Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.
Find full text
2
Schuster, C. E. Test structure implementation document: DC parametric test structures and test methods for monolithic microwave integrated circuits (MMICs). Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.
Find full text
3
Schuster, C. E. Test structure implementation document: DC parametric test structures and test methods for monolithic microwave integrated circuits (MMICs). Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.
Find full text
4
Pérez, Roc Berenguer, and Hector Solar Solar Ruiz. Linear CMOS RF Power Amplifiers: A Complete Design Workflow. Springer, 2016.
Find full text
5
Ruiz, Hector Solar, and Roc Berenguer Pérez. Linear CMOS RF Power Amplifiers: A Complete Design Workflow. Springer, 2013.
Find full text
6
Ruiz, Hector Solar, and Roc Berenguer Pérez. Linear CMOS RF Power Amplifiers: A Complete Design Workflow. Springer London, Limited, 2013.
Find full text
7
United States. Defense Advanced Research Projects Agency, Wright Laboratory (Wright-Patterson Air Force Base, Ohio), and National Institute of Standards and Technology (U.S.), eds. Test structure implementation document: DC parametric test structures and test methods for monolithic microwave integrated circuits (MMICs). Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.
Find full text
8
Halpern, Neil A. Design of the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0001.
Full textAbstract:
This chapter on intensive care unit (ICU) design looks at the ICU from three perspectives—concept to occupancy, the patient room, and supportive services, and advanced informatics. The design process is complex and time-consuming, and relies upon a design team composed of the main users, architects, and hospital administrative representatives; they must develop a vision for the new unit, which includes its purpose, bed number, staffing, workflow and healing environment. The team must then balance innovation with practicality, disparate technologies with standardization and timely purchase, and desires for the best of everything with physical, space, and fiscal limitations. The ICU patient room is the core of the ICU patient, family member, and staff experiences and should be similarly designed and equipped. Supportive spaces fully integrated with the patient rooms and hospital logistic areas and systems help optimize throughput. Informatics systems that electronically integrate the patient room with all aspects of care should be deployed to intelligently utilize and smartly present and display data, manage alarms, monitor the ICU environment, develop virtual device communities, provide real time locating systems, and address local or remote telemedicine requirements.
Book chapters on the topic "Integrated parametric design workflow"
1
Jaminet, Jean, Gabriel Esquivel, and Shane Bugni. "Serlio and Artificial Intelligence: Problematizing the Image-to-Object Workflow." In Proceedings of the 2021 DigitalFUTURES, 3–12. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_1.
Full textAbstract:
AbstractVirtual design production demands that information be increasingly encoded and decoded with image compression technologies. Since the Renaissance, the discourses of language and drawing and their actuation by the classical disciplinary treatise have been fundamental to the production of knowledge within the building arts. These early forms of data compression provoke reflection on theory and technology as critical counterparts to perception and imagination unique to the discipline of architecture. This research examines the illustrated expositions of Sebastiano Serlio through the lens of artificial intelligence (AI). The mimetic powers of technological data storage and retrieval and Serlio’s coded operations of orthographic projection drawing disclose other aesthetic and formal logics for architecture and its image that exist outside human perception. Examination of aesthetic communication theory provides a conceptual dimension of how architecture and artificial intelligent systems integrate both analog and digital modes of information processing. Tools and methods are reconsidered to propose alternative AI workflows that complicate normative and predictable linear design processes. The operative model presented demonstrates how augmenting and interpreting layered generative adversarial networks drive an integrated parametric process of three-dimensionalization. Concluding remarks contemplate the role of human design agency within these emerging modes of creative digital production.
2
Sinke, Yuliya, Sebastian Gatz, Martin Tamke, and Mette Ramsgaard Thomsen. "Machine Learning for Fabrication of Graded Knitted Membranes." In Proceedings of the 2020 DigitalFUTURES, 309–19. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_29.
Full textAbstract:
AbstractThis paper examines the use of machine learning in creating digitally integrated design-to-fabrication workflows. As computational design allows for new methods of material specification and fabrication, it enables direct functional grading of material at high detail thereby tuning the design performance in response to performance criteria. However, the generation of fabrication data is often cumbersome and relies on in-depth knowledge of the fabrication processes. Parametric models that set up for automatic detailing of incremental changes, unfortunately, do not accommodate the larger topological changes to the material set up. The paper presents the speculative case study KnitVault. Based on earlier research projects Isoropia and Ombre, the study examines the use of machine learning to train models for fabrication data generation in response to desired performance criteria. KnitVault demonstrates and validates methods for shortcutting parametric interfacing and explores how the trained model can be employed in design cases that exceed the topology of the training examples.
3
Borhani, Alireza, Carrie Sturts Dossick, Christopher Meek, Devin Kleiner, and John Haymaker. "Adopting Parametric Construction Analysis in Integrated Design Teams." In Advances in Informatics and Computing in Civil and Construction Engineering, 351–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00220-6_42.
Full text
4
Burnak, Baris, Nikolaos A. Diangelakis, and Efstratios N. Pistikopoulos. "PAROC: PARametric Optimization and Control Framework." In Integrated Process Design and Operational Optimization via Multiparametric Programming, 47–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-02089-6_3.
Full text
5
Lo Turco, Massimiliano, Federico Caputo, and Gabriele Fusaro. "From Integrated Survey to the Parametric Modeling of Degradations. A Feasible Workflow." In Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection, 579–89. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48496-9_46.
Full text
6
Denker, William A. "Precise Parametric Evaluation of Variable Radius Blend Surfaces." In Product Modeling for Computer Integrated Design and Manufacture, 360–68. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35187-2_30.
Full text
7
Oberortner, Ernst, Robert Evans, Xianwei Meng, Sangeeta Nath, Hector Plahar, Lisa Simirenko, Angela Tarver, Samuel Deutsch, Nathan J. Hillson, and Jan-Fang Cheng. "An Integrated Computer-Aided Design and Manufacturing Workflow for Synthetic Biology." In Methods in Molecular Biology, 3–18. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0908-8_1.
Full text
8
Pronath, Michael, Helmut Graeb, and Kurt Antreich. "On Parametric Test Design for Analog Integrated Circuits considering Error in Measurement and Stimulus." In Modeling, Simulation, and Optimization of Integrated Circuits, 283–301. Basel: Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-8065-7_18.
Full text
9
Srivastava, Avantika, Tarun Kumar, Kriti Bhalla, and Vishal Mishra. "Building-Integrated Photovoltaics (BIPV) in India: A Framework for TRIZ-Based Parametric Design." In Springer Transactions in Civil and Environmental Engineering, 237–45. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1063-2_18.
Full text
10
Liu, Fuyuan, Min Chen, Lizhe Wang, Xiang Wang, and Cheng-Hung Lo. "Custom-Fit and Lightweight Optimization Design of Exoskeletons Using Parametric Conformal Lattice." In Proceedings of the 2021 DigitalFUTURES, 129–38. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_12.
Full textAbstract:
AbstractThis paper presents an integrated design method for the customization and lightweight design of free-shaped wearable devices, illustrated by a lower limb exoskeleton. The customized design space is derived from the 3D scanning models. Based on the finite element analysis, the structural framework is determined through topology optimization with allowable strength. By means of generative design, the lattice library is constructed to fill the frames under different conformal algorithms. Finally, the proposed method is illustrated by the exoskeleton design case.
Conference papers on the topic "Integrated parametric design workflow"
1
Edwards, Liam, and Kevin Ip. "Conceptual and parametric design of steel bridges." In IABSE Congress, Christchurch 2021: Resilient technologies for sustainable infrastructure. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/christchurch.2021.0800.
Full textAbstract:
<p>Greater challenges are being faced by engineers in modern bridge design to seek the optimal solution. This is due to the increasing structural complexity of steel bridges being demanded by higher client expectations, while there remains the need for the designs to be economic. The authors have developed a framework of parametric design practice which enables common bridge types to be rapidly modelled and compared. The benefits of parametric design and modelling for steel bridge design is first addressed with a primary focus on conceptual design, including a discussion on different structural forms and the components of parametric design. Furthermore, an innovative digital design workflow is promulgated for reducing design effort and increasing the coordination efficiency in an integrated design platform. A case study of a suspension footbridge concept design in Otago, New Zealand is presented which demonstrates the application of the parametric design workflow.</p>
2
Nip, Koon Lok (Stephen). "Integrating Embodied Carbon Feedback into Footbridge Design." In Footbridge 2022 (Madrid): Creating Experience. Madrid, Spain: Asociación Española de Ingeniería Estructural, 2022. http://dx.doi.org/10.24904/footbridge2022.264.
Full textAbstract:
<p>This paper demonstrates a new workflow that integrates an embodied carbon assessment into a standard footbridge design process.</p><p>Engineers are becoming increasingly conscious of the need to minimise the carbon content of their designs. However, evaluating this is often treated as a separate task requiring designers to calculate the embodied carbon of each individual footbridge component. As a result, it is often carried out at a later stage when adapting to a lower embodied carbon design can be more difficult.</p><p>A new workflow is developed to integrate embodied carbon feedback in the design process. It involves the use of parametric scripts and the ability to obtain information from finite element analysis (FEA) models prepared using proprietary software such as Lusas and MidasCivil. The use of this gives designers greater flexibility to make meaningful changes to reduce the embodied carbon.</p><p>This paper will discuss this powerful methodology and will provide examples demonstrating the benefits of implementing this workflow.</p>
3
Woestenenk, Krijn, G. Maarten Bonnema, Andre´s A. Alvarez Cabrera, and Tetsuo Tomiyama. "Capturing Design Process Information in Complex Product Development." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48105.
Full textAbstract:
From interviewing developers and analyzing examples from industry, the authors have concluded that communication issues during the design process are a key factor of the complexity of product development. These communication issues stem from a lack of insight in the workflow between designers and their resources, and the lack of insight in the relation of this workflow to the system architecture. To the best knowledge of the authors, currently there are no suitable models and tools that allow capturing and understanding such information in an integrated way. This work contributes by providing requirements for tools and models, and proposes a modeling language that fulfils such requirements. With this language we introduce a method for capturing design process information: The language can combine multiple stakeholder-based views on their system aspects of interest with architectural concerns, and can specify which resources in terms of models and parametric information are needed from other stakeholders to develop these aspects. The language was also developed as a stepping stone for automation of design processes.
4
Wu, Yuan-Ting, Christian K. Funk, Pei-feng Hsu, Jerome Le Moine, Ran Zhou, C. S. Subramanian, Christian X. Campbell, and John J. Marra. "Design Optimization of Turbo-Machinery Components With Independent FEA and CFD Tools in an Optimization Software Environment: A Mid-Span Shroud Ring Study Case." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62083.
Full textAbstract:
Shrouds are important for damping vibrations in gas turbine blades. In modern industrial high-output, high-efficiency engines, long turbine blades can require the use of a mid-span or partial-span damping ring. However, the inclusion of a mid-span damping shroud, or “snubber,” can have negative effects on the aerodynamic performance of the gas turbine stage and engine. Therefore, a method of iterative study and optimization was applied to minimize the drag force caused by the snubber, while maximizing the structural life of the blade. The approach used integrated design environment software to perform parametric studies of the design space in preparation for optimization of the blade snubber geometry. The drivers employed in Isight 4.0/4.5 [9] optimization software carried out the parametric study and reported the results to the designer. Considering these results, the designer chose the initial seeding geometry of the optimization driver which greatly reduced analysis time and the time required to reach the design objectives. This approach provides an integrated design workflow and facilitates parametric studies of advanced gas turbine blade component geometry, and the optimization of the component to meet targets of minimized aerodynamic drag force and maximized low-cycle fatigue life, goals crucial to the development of an advanced and efficient power generation gas turbine.
5
Vafaee, Niloofar Zaker, Melika Sandani, Tahmineh Akbarinejad Khameneh, Matteo Tagnocchetti, Bunji Izumi, and Luca Finocchiaro. "Integrating energy in the conceptual design stage to optimize building form." In 63rd International Conference of Scandinavian Simulation Society, SIMS 2022, Trondheim, Norway, September 20-21, 2022. Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp192045.
Full textAbstract:
In architecture, Integrated Energy Design (IED) entails considering energy during each design phase, especially in the early design stage. The form of a building is an important factor in this stage due to its considerable impact on energy consumption. Finding the optimal form is a time-consuming process, and computational design techniques can help designers to facilitate this process and achieve a design solution with acceptable performance in terms of CO2 emission. Moreover, the surrounding buildings, trees and urban elements can affect the energy and daylight of the project by casting shadows. Considering all these elements throughout the design process can be very demanding and take several working days. Today, digital tools make it possible to parametrically analyze morphological characteristics of buildings to identify the most efficient solution. The present study proposes an environmental-simulation based design workflow to be used in the early design stage to determine the building’s form parameters (height, angle,..) in a given urban area based on the weather data and the surrounding context. This process is done by parametric design tools and environmental simulations in Rhino3D®, Grasshopper®, and ladybug Tools®. The typical Norwegian cabin’s form parameters are applied in the visual coding program (Grasshopper®) to generate the initial geometry for optimization. Due to the great effect of the energy consumption on the CO2 emission, minimizing energy, maximizing thermal comfort and the sky view percentage were the main objectives. To test the workflow the weather data of Tromsø (Norway) and 3d model of the surrounding context of a design location was applied as inputs. The output of this application was several building’s form alternatives for that specific location. This study showed using the digital tools and parametric design thinking can help the designers to apply the climatic data in the design process to narrow down the design solutions.
6
Wang, Zhonghui, Qinrong Fu, Hongzhi Dong, Liping Zhang, and Wei Xiang. "Web-Based Product Data Management and Design Automation." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13642.
Full textAbstract:
Product data management (PDM) systems have been successfully applied to maintain product-related information as well as to integrate different applications for design, process and manufacturing throughout the product life cycle. However, the issues on how to use the PDM system to enable design automation have not been adequately addressed. This paper proposed a framework to enable product design automation by employing the web-based PDM system and the Computer-aided Design (CAD) platform. The components of the framework include a feature-based parametric template module, 3D and 2D auto-generation modules, a web-based PDM system, and the data communication protocol between PDM and CAD platform. The features and relations for product families can be defined with the parametric module. 3D and 2D modules help to auto generate the solid and 2D drawings based on the features and relations of the product. The web-based PDM system provides the easy access for designer to create or edit or store the product feature information, and manage the workflow process. The illustrating example demonstrates the feasibility and effectiveness of this proposed framework for design automation.
7
Khan, Abdul Muqtadir, Zinaida Usova, and Alexey Yudin. "Integrated Workflow with Experimentation, Modeling, and Field Implementation Framework Enhances Fracture Diversion Understanding in Carbonate Reservoirs." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205665-ms.
Full textAbstract:
Abstract Multiple near-wellbore diverters and their applications exist in the industry. However, understanding of their effectiveness in carbonate acid fracturing applications still has unanswered questions, mainly due to the lack of knowledge on how the fracture width develops at entry points with continuous acid dissolution. This continuum needs to be understood through integrated modeling and experimentation at the yard-scale, and field-scale perspectives. An advanced numerical model was used to analyze the width development in varying calcite/dolomite fractions and acid concentrations. A robust diversion pill was developed during extensive testing, and its performance was validated in the laboratory using a slot test. The goal was to create a system with reliable bridging ability and low permeability to ensure isolation. Multimodal particles help to ensure effective bridging and plug stability. A similar bridging test was conducted at the yard scale with a small pump and low-pressure line setup leading to an 8-mm inside diameter pipe. Results from the laboratory were validated in the yard test to see parameters affecting the bridging. Finally, a well-specific robust workflow was constructed for diversion pill design. Modeling done on a high-resolution fracture hydrodynamics and in-situ kinetics model showed that width development in different scenarios varied from 1.5 to 3.0 mm. Laboratory testing was performed in 0.31- to 063-inch width rectangular slots to normalize the flow rate/area of the cross section, and the plug experienced pressure up to 1,200 psi for several hours at temperatures from 115 to 205°F. No extrusion was observed during the test, which is a valid indicator of plug stability. Sensitivity to flow conditions and carrier fluid properties were estimated. The diversion slurry was mixed in a 0.5 wt% solution of guar gum and displaced at pump rates 100 to 999 ml/min. A yard test was designed to see the bridging of the pill at various concentrations of 75 to 300 lbm/1,000 gal and rates of 0.5 to 3 gal/min. All the laboratory- and yard-scale experimental findings were combined with theoretical fundamentals to understand fracture bridging for dynamic diversion applications. A workflow using modeling and advanced volumetrics design was devised to enhance the diversion success in field applications. This led to formulating a parametric design measure β, which showed direct correlation and effectiveness on the diversion process based on synthetic simulations. This study gives a 360° solution-based understanding of diversion physics. The proposed combination of mechanical and chemical diversion is a cost-effective method for multistage fracturing. Current comprehensive research involving digitized cores and advanced modeling has significant potential to make this a reliable method to develop tight carbonate formations around the globe.
8
Lin, Chang-Pin, and Hsin-Yuan Chuang. "Adaptive Process Control and Optimization in Intelligent Manufacturing Systems." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14619.
Full textAbstract:
Abstract Modern manufacturing systems have incorporated various “intelligent” decision support techniques and algorithms in the form of rules-based systems which have been promoted extensively because of the recent development in fuzzy inference, artificial neural network, machine learning and optimization algorithms, and etc. The basic elements of a modern manufacturing system include design automation (CAD and CAPP), production automation (CAM and MRP II), and shop floor automation (SFC and FMS), which must then be integrated into a coherent system through information automation (distributed DBMS and workflow automation) to form a fully automated factory. Therefore, considerable amount of rule-based systems have been developed and implemented fully or partially into each of the above areas of automation. To build a robust rule-based system requires a suitable modeling and analysis tool and a systematic design methodology. By incorporating neural network concept and associated learning algorithm, we present in this paper a Petri net based modeling methodology which can be used to design and implement adaptive rule-based systems for control and optimization in intelligent manufacturing systems. Demonstration is done on parametric design and optimization in manufacturing processes.
9
Goold, Ryan, Tsz Yan Ng, and Daniel Fougere. "Concrete Lattice | Unitized Architecture of Assembly." In 2017 ACSA Annual Conference. ACSA Press, 2017. http://dx.doi.org/10.35483/acsa.amp.105.21.
Full textAbstract:
Concrete Lattice, a project produced for the graduate thesis studio Concrete Labor(1), seeks to challenge our normative association with this building typology by developing a lattice system of prefabricated units using Glass-Fiber Reinforced Concrete (GFRC). Lattice systems are porous, lightweight, and deployable; terms that are not typically associated with concrete structures. The design of parametric units rather than linear components(typical of lattice systems), highlights issues of assembly in precast building systems using integrated components. While design workflows and CNC fabrication aided in efficiently manufacturing the units, the assembly is post-tensioned during the construction process to limit the amount of scaffolding necessary. Our goal was to explore the development of a complex lattice system using digital technology to explore formal and manufacturing processes.
10
Wagner, Markus, Johannes Einzinger, Oliver Velde, and Ralf Lampert. "Automatic Numerical Analyses and Optimization of Operating Maps Applied to a Radial Compressor." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91408.
Full textAbstract:
Abstract This paper contributes to the field of radial compressor design by proposing an adaptive, automated workflow incorporating the analysis of the compressor performance for a multitude of operation points by means of the respective operating maps. Most state-of-the-art approaches do not consider that the operating map limits are not conserved while changing geometric parameters which constraints these analyses to a rather small design space. In contrast, the presented methodology considers the varying operating map limits in regards to the corresponding mass flow and with that expands the possible input parameter range. The presented workflow integrates different software solutions, starting with the automated generation of the compressor geometry based on a parametric CAD model. For each geometry a mesh is generated that is used for all subsequent CFD simulations which finally result in the operating map. For every speed line, the choke point is identified by an adaptive CFD computation (based on the principle of similarity). By using the calculated choke mass flow, supplementary CFD simulations obtain additional operating points on the current speed line by a stepwise reduction of the mass flow. However, the identification of the surge line is not within the scope of the presented approach. Therefore, the range covered by the map is determined by the mass flow at the maximum efficiency and the mass flow at the choke line. The developed framework is applied to optimize the operating map of a radial compressor. A successful optimization shows that the optimized design has an enlarged choke mass flow for lower compressor speed while the pressure ratio and polytropic efficiency are comparable. At the same time, this design has a comparable choke mass flow and efficiency for higher compressor speed, but an improved maximal pressure ratio. The obtained results from the optimization show that the methodology is applicable to a wide parameter range. By adaptively calculating the operating map limits, the approach is not restricted to a small design space.
Reports on the topic "Integrated parametric design workflow"
1
Wenren, Yonghu, Joon Lim, Luke Allen, Robert Haehnel, and Ian Dettwiler. Helicopter rotor blade planform optimization using parametric design and multi-objective genetic algorithm. Engineer Research and Development Center (U.S.), December 2022. http://dx.doi.org/10.21079/11681/46261.
Full textAbstract:
In this paper, an automated framework is presented to perform helicopter rotor blade planform optimization. This framework contains three elements, Dakota, ParBlade, and RCAS. These elements are integrated into an environment control tool, Galaxy Simulation Builder, which is used to carry out the optimization. The main objective of this work is to conduct rotor performance design optimizations for forward flight and hover. The blade design variables manipulated by ParBlade are twist, sweep, and anhedral. The multi-objective genetic algorithm method is used in this study to search for the optimum blade design; the optimization objective is to minimize the rotor power required. Following design parameter substitution, ParBlade generates the modified blade shape and updates the rotor blade properties in the RCAS script before running RCAS. After the RCAS simulations are complete, the desired performance metrics (objectives and constraints) are extracted and returned to the Dakota optimizer. Demonstrative optimization case studies were conducted using a UH-60A main rotor as the base case. Rotor power in hover and forward flight, at advance ratio 𝜇𝜇 = 0.3, are used as objective functions. The results of this study show improvement in rotor power of 6.13% and 8.52% in hover and an advance ratio of 0.3, respectively. This configuration also yields greater reductions in rotor power for high advance ratios, e.g., 12.42% reduction at 𝜇𝜇 = 0.4.