Academic literature on the topic 'Additive manufacturing supervision'
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Journal articles on the topic "Additive manufacturing supervision"
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Rojek, Izabela, Jakub Kopowski, Jakub Lewandowski, and Dariusz Mikołajewski. "Use of Machine Learning to Improve Additive Manufacturing Processes." Applied Sciences 14, no. 15 (August 1, 2024): 6730. http://dx.doi.org/10.3390/app14156730.
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Rapidly developing artificial intelligence (AI) can help machines and devices to perceive, analyze, and even make inferences in a similar way to human reasoning. The aim of this article is to present applications of AI methods, including machine learning (ML), in the design and supervision of processes used in the field of additive manufacturing techniques. This approach will allow specific tasks to be solved as if they were performed by a human expert in the field. The application of AI in the development of additive manufacturing technologies makes it possible to be assisted by the knowledge of experienced operators in the design and supervision of processes acquired automatically. This reduces the risk of human error and simplifies and automates the production of products and parts. AI in 3D technology creates a wide range of possibilities for generating 3D objects and enables a machine equipped with a vision system, used in ML processes, to analyze data similar to human thought processes. Incremental printing using such a printer allows the production of objects of ever-increasing quality from several materials simultaneously. The process itself is also precise and fast. An accuracy of 97.56% means that the model is precise and makes very few errors. The 3D printing system with artificial intelligence allows the device to adapt to, for example, different material properties, as the printer examines the 3D-printed surface and automatically adjusts the printing. AI/ML-based solutions similar to ours, once learning sets are modified or extended, are easily adaptable to other technologies, materials, or multi-material 3D printing. They also allow the creation of dedicated, ML solutions that adapt to the specifics of a production line, including as self-learning solutions as production progresses.
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Antonin, Bergeaud, and Verluise Cyril. "Identifying technology clusters based on automated patent landscaping." PLOS ONE 18, no. 12 (December 14, 2023): e0295587. http://dx.doi.org/10.1371/journal.pone.0295587.
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We introduce a new general methodological approach for accurately and consistently retrieving a large set of patents related to specific technologies. We build upon the automated patent landscaping algorithm by incorporating a tractable amount of human supervision to improve the accuracy and consistency of our results. We demonstrate the efficacy of our approach by applying it to six novel and representative technologies: additive manufacturing, blockchain, computer vision, genome editing, hydrogen storage, and self-driving vehicles.
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Quah, Tan Kai Noel, Yi Wei Daniel Tay, Jian Hui Lim, Ming Jen Tan, Teck Neng Wong, and King Ho Holden Li. "Concrete 3D Printing: Process Parameters for Process Control, Monitoring and Diagnosis in Automation and Construction." Mathematics 11, no. 6 (March 19, 2023): 1499. http://dx.doi.org/10.3390/math11061499.
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In Singapore, there is an increasing need for independence from manpower within the Building and Construction (B&C) Industry. Prefabricated Prefinished Volumetric Construction (PPVC) production is mainly driven by benefits in environmental pollution reduction, improved productivity, quality control, and customizability. However, overall cost savings have been counterbalanced by new cost drivers like modular precast moulds, transportation, hoisting, manufacturing & holding yards, and supervision costs. The highly modular requirements for PPVC places additive manufacturing in an advantageous position, due to its high customizability, low volume manufacturing capabilities for a faster manufacturing response time, faster production changeovers, and lower inventory requirements. However, C3DP has only just begun to move away from its early-stage development, where there is a need to closely evaluate the process parameters across buildability, extrudability, and pumpability aspects. As many parameters have been identified as having considerable influence on C3DP processes, monitoring systems for feedback applications seem to be an inevitable step forward to automation in construction. This paper has presented a broad analysis of the challenges posed to C3DP and feedback systems, stressing the admission of process parameters to correct multiple modes of failure.
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Syamimi Shamsuddin, Muhammad Ezzaq Elfi Rafie, Intan Fatihah Ahmad, Winal Zikril Zulkifli, Mahasan Mat Ali, and Amalina Amir. "Design and Development of Printable Prosthetic Foot using Acrylonitrile Butadiene Styrene (ABS) for Below Knee Amputation (BKA)." Malaysian Journal on Composites Science & Manufacturing 10, no. 1 (March 30, 2023): 11–23. http://dx.doi.org/10.37934/mjcsm.10.1.1123.
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Prosthesis is an artificial replacement for a person's missing limb to help regain mobility and the ability to manage daily activities. The type of prosthetic covered in this project is for people with below-knee amputation (BKA). Muscle fatigue is a major issue for amputees who lose a lower limb after prolonged use of artificial limbs. Available designs of prosthetics for BKA are also expensive. This study aims to design and develop an affordable and comfortable prosthetic foot with an energy-story ability for persons with BKA using an additive manufacturing process to help reduce fatigue. Three conceptual designs based were developed for this purpose. Based on the design selection matrix, the best design was chosen and developed in SolidWorks 2013 environment. Stress and strain analyses were simulated to verify the design's ability to withstand the weight of a sample patient with BKA. A sample of patient details, including weight, amputation side and sole (of the foot) length, were obtained and implemented in the prosthetic foot design. Due to its strength and durability, the design was printed on the Veglar V-821 additive manufacturing machine using Acrylonitrile Butadiene Styrene (ABS) material. A pilot test with a male patient with BKA was conducted under the supervision of a prosthetist under two conditions: standing and walking. The prosthetic prototype did not break during the test, and the patient felt comfortable using it. This finding shows that additive manufacturing can produce an affordable and comfortable prototype of a prosthetic foot using ABS. Hence, more BKA patients can benefit from inexpensive prostheses and finally help them achieve a better quality of life.
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Dugheri, Stefano, Giovanni Cappelli, Lucia Trevisani, Simon Kemble, Fabrizio Paone, Massimiliano Rigacci, Elisabetta Bucaletti, Donato Squillaci, Nicola Mucci, and Giulio Arcangeli. "A Qualitative and Quantitative Occupational Exposure Risk Assessment to Hazardous Substances during Powder-Bed Fusion Processes in Metal-Additive Manufacturing." Safety 8, no. 2 (April 20, 2022): 32. http://dx.doi.org/10.3390/safety8020032.
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Metal-additive manufacturing (AM), particularly the powder-bed fusion (PBF) technique, is undergoing a transition from the short-run production of components to higher-volume manufacturing. The industry’s increased production efficiency is paired with a growing awareness of the risks related to the inhalation of very fine metal powders during PBF and AM processes, and there is a pressing need for a ready-to-use approach to assess the risks and the occupational exposure to these very final metal powders. This article presents a study conducted in an AM facility, which was conducted with the aim to propose a solution to monitor incidental airborne particle emissions during metal AM by setting up an analytical network for a tailored approach to risk assessment. Quantitative data about the respirable and inhalable particle and metal content were obtained by gravimetric and ICP-MS analyses. In addition, the concentrations of airborne particles (10–300 nm) were investigated using a direct reading instrument. A qualitative approach for risk assessment was fulfilled using control banding Nanotool v2.0. The results show that the operations in the AM facility are in line with exposure limit levels for both micron-sized and nano-sized particles. The particulate observed in the working area contains metals, such as chromium, cobalt, and nickel; thus, biological monitoring is recommended. To manage the risk level observed for all of the tasks during the AM process, containment and the supervision of an occupational safety expert are recommended to manage the risk. This study represents a useful tool that can be used to carry out a static evaluation of the risk and exposure to potentially harmful very fine metal powders in AM; however, due to the continuous innovations in this field, a dynamic approach could represent an interesting future perspective for occupational safety.
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Azimifar, Farhad, Kamran Hassani, Amir Hossein Saveh, and Farhad Tabatabai Ghomshe. "A low invasiveness patient’s specific template for spine surgery." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 231, no. 2 (December 21, 2016): 143–48. http://dx.doi.org/10.1177/0954411916682770.
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Free-hand pedicle screw placement is still conventional in surgery, although it has potentially high risks. The surgical procedures such as pedicle screw placement are usually designed based on medical imaging, but during surgery, the procedures are not normally followed due to the fact that some points are missed in two-dimensional images and seen only during surgery. In this regards, some highly accurate computer-assisted systems have been proposed and are currently used. Moreover, it is possible to reduce or completely avoid hand working by applying modern digital technology. Therefore, using these technologies has remarkable advantages. In this study, we have presented a new approach of pedicle screw placement in the lumbar and sacral regions using a specific drill guide template. The template was created by additive manufacturing technology and was verified in a clinical study as well. The main aim of this research includes the following: design, analyze, manufacture and evaluate the accuracy of a new patient-specific drill guide template, for lumbar pedicle screw placement, and compare the template to the free-hand technique under fluoroscopy supervision. Our results show that the incidence of cortex perforation is substantially reduced compared to existing methods. Finally, we believe that this approach remarkably lowers the incidence of cortex perforation and could be potentially used in clinical applications, particularly in certain selected cases.
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Nguyen, Van-Cuong, Minh-Quyen Le, Jean-François Mogniotte, Jean-Fabien Capsal, and Pierre-Jean Cottinet. "Extrusion-Based 3D Printing of Stretchable Electronic Coating for Condition Monitoring of Suction Cups." Micromachines 13, no. 10 (September 27, 2022): 1606. http://dx.doi.org/10.3390/mi13101606.
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Suction cups (SCs) are used extensively by the industrial sector, particularly for a wide variety of automated material-handling applications. To enhance productivity and reduce maintenance costs, an online supervision system is essential to check the status of SCs. This paper thus proposes an innovative method for condition monitoring of SCs coated with printed electronics whose electrical resistance is supposed to be correlated with the mechanical strain. A simulation model is first examined to observe the deformation of SCs under vacuum compression, which is needed for the development of sensor coating thanks to the 3D printing process. The proposed design involves three circle-shaped sensors, two for the top and bottom bellows (whose mechanical strains are revealed to be the most significant), and one for the lip (small strain, but important stress that might provoke wear and tear in the long term). For the sake of simplicity, practical measurement is performed on 2D samples coated with two different conductive inks subjected to unidirectional tensile loading. Graphical representations together with analytical models of both linear and nonlinear piezoresistive responses allows for the characterization of the inks’ behavior under several conditions of displacement and speed inputs. After a comparison of the two inks, the most appropriate is selected as a consequence of its excellent adhesion and stretchability, which are essential criteria to meet the target field. Room temperature extrusion-based 3D printing is then investigated using a motorized 3D Hyrel printer with a syringe-extrusion modular system. Design optimization is finally carried out to enhance the surface detection of sensitive elements while minimizing the effect of electrodes. Although several issues still need to be further considered to match specifications imposed by our industrial partner, the achievement of this work is meaningful and could pave the way for a new generation of SCs integrated with smart sensing devices. The 3D printing of conductive ink directly on the cup’s curving surface is a true challenge, which has been demonstrated, for the first time, to be technically feasible throughout the additive manufacturing (AM) process.
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Tatlı, Hasan Sadık, Gökten Öngel, and Murat Süslü. "Impact of Abusive Supervision on Innovative Work Behavior in Turkey: Who Is More Affected?" Changing Societies & Personalities 8, no. 2 (July 19, 2024): 491. http://dx.doi.org/10.15826/csp.2024.8.2.284.
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Researchers have focused on the dark side of managers in recent years, wherein studies discuss the effects of abusive supervision styles on employees and organizations. This research aims to elucidate the influence of abusive supervision on innovative work behaviors of new and former employees. The study focuses on two different employee characteristics. The first group includes the employees with a two-year or less tenure. The second group includes employees with a five-year or more tenure. A simple random sampling technique is used to determine the sample. The research sample includes 345 employees in a manufacturing firm in Istanbul, Turkey. According to regression analysis results, abusive supervision negatively affects innovative work behavior. In addition, abusive supervision affects the innovative work behaviors of new employees more than those of former employees. The findings are consistent with the social exchange theory, conservation of resources theory, and power approach. The research findings are important in demonstrating how destructive abusive supervision affects new employees. In conclusion, suggestions are presented for companies, managers, and researchers.
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Corbett, J. "Smart machine tools." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 212, no. 3 (May 1, 1998): 203–13. http://dx.doi.org/10.1243/0959651981539406.
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Improved manufacturing methods have become crucial factors in retaining global competitiveness for a wide range of products. This has led to the development of new automatic supervision techniques for use in smart machine tools. These are necessary because it is not possible to design and manufacture machine tool structures and systems with work zone areas of sufficient accuracy and repeatability to meet the improved performance requirements demanded by many modern manufacturing companies. The principal areas for automatic supervision of the machine tool are the tooling, appropriate machine elements and the overall machine system. Thermal effects have been shown to be the largest source of dimensional errors and apparent non-repeatability of machines. Therefore, for the highest precision machines on-line temperature monitoring and control is of paramount importance. This paper describes the application of automatic supervision techniques applied to the NION diamond turning and grinding machine, developed by Cranfield Precision Engineering Limited, which is the most accurate machine tool, of its size, currently available, as well as an ultra precision five-axis grinding machine, built in Japan by the Toyoda Machine Works Limited. In addition, following a project at Cranfield University, the benefits of on-line measuring techniques are discussed in obtaining new cost effective manufacturing methods for producing aero-engine turbine blades. Further examples are given, including major projects at Liverpool John Moores University and Eindhoven University of Technology, where significant improvements in accuracy capabilities were obtained for a standard cylindrical grinding machine and a five-axis vertical milling machine.
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Liu, Jiaqi, Guoyang Xie, Jinbao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, and Yaochu Jin. "Deep Industrial Image Anomaly Detection: A Survey." Machine Intelligence Research 21, no. 1 (January 15, 2024): 104–35. http://dx.doi.org/10.1007/s11633-023-1459-z.
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AbstractThe recent rapid development of deep learning has laid a milestone in industrial image anomaly detection (IAD). In this paper, we provide a comprehensive review of deep learning-based image anomaly detection techniques, from the perspectives of neural network architectures, levels of supervision, loss functions, metrics and datasets. In addition, we extract the promising setting from industrial manufacturing and review the current IAD approaches under our proposed setting. Moreover, we highlight several opening challenges for image anomaly detection. The merits and downsides of representative network architectures under varying supervision are discussed. Finally, we summarize the research findings and point out future research directions. More resources are available at https://github.com/M-3LAB/awesome-industrial-anomaly-detection.
Dissertations / Theses on the topic "Additive manufacturing supervision"
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Mosser, Loïc. "Contribution à la conception et la fabrication de robots souples pneumatiques." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD009.
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Ce travail de thèse porte sur la conception de robots souples pneumatiques, pour lesquels la mise en mouvement par déformation est produite via des chambres pneumatiques. Nous contribuons à l'obtention d'un robot depuis la formulation du besoin jusqu'à la fabrication du robot. Ainsi, nous abordons les problématiques associées à la conception et la fabrication de ces robots. Pour la conception, nous proposons un algorithme génétique dont le fonctionnement est accéléré par l'usage d'un modèle d'IA permettant l'estimation rapide des comportements de nouvelles géométries et la recherche de solution. Pour la fabrication, nous proposons une plateforme instrumentée de fabrication additive de silicone permettant l'acquisition de nuages de points sur la couche produite. Des indicateurs sont alors proposés pour suivre la production en cours et l'intégrité de robots souples, et ces indicateurs sont évalués expérimentalementThis thesis covers the design of pneumatic soft robots, which move thanks to deformation using pneumatic chambers. We contribute to the design of a robot from the formulation of the need to the manufacturing of the robot. We address the problems associated with the design and manufacture of these robots. For design, we propose a genetic algorithm accelerated by the use of an AI model enabling rapid estimation of the behavior of new geometries and the search for solutions. For manufacturing, we propose an instrumented silicone additive manufacturing platform enabling the acquisition of point clouds on each produced layer. Indicators are then proposed to monitor ongoing production and the integrity of soft robots, and these indicators are evaluated experimentally
Book chapters on the topic "Additive manufacturing supervision"
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Erbiyik, Hikmet. "Definition of Maintenance and Maintenance Types with Due Care on Preventive Maintenance." In Maintenance Management - Current Challenges, New Developments, and Future Directions [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106346.
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In this chapter maintenance concept is defined and maintenance types are classified with regard to implementing maintenance policies toward preventive maintenance. Especially achieving planned maintenance policies toward preventive (planned) maintenance and condition based maintenance policies toward predictive maintenance is taken into consideration primarily. Maintenance concept is defined and maintenance types are classified. Due care is given for ‘Preventive Maintenance’ in this chapter. In general ‘Maintenance’ term could be defined as; The integration of all possible technical and administrative actions, including planning, supervising, monitoring and controlling toward retaining an item, a system, a machine to restore their original functional state in which they can perform the intended functions. In addition maintenance, include protective and corrective actions to keep the plant operational system in intended conditions or to maintain the acceptable manufacturing conditions. Optimum maintenance policies aims to sustain system reliability and robustness within minimum cost. In line with the progress of industry, increase in the system, material and manpower costs, increasing demand for robustness and the complex structure of the machines increases also the importance of maintenance policies. Maintenance types could be divided into two main parts namely; 1. Preventive Maintenance, 2. Corrective Maintenance. Preventive Maintenance is also classified into following sub groups; 1.a- Planned Maintenance, 1.b- Predictive Maintenance, 1.c- Advanced Maintenance Implementations; 1.c.1 Reliability Centered Maintenance 1.c.2 Risk Based Maintenance. All of these maintenance types elaborated with relevant figures in the chapter. In this chapter Comparison of Planned and Unplanned (corrective) Maintenance (With regard to transaction and output) is defined with a table. Additionally, Comparison of Planned and Unplanned (corrective) Maintenance (With regard to infra structure) is also tabulated. ‘Benefits of Preventive & Predictive Maintenance’ and ‘Predictive Maintenance Methods’ are defined with relevant descriptive figures in the chapter. For Corrective Maintenance, basic definitions and corrective maintenance steps, types of corrective Maintenance, improvement strategies in corrective maintenance effectiveness are also given. In the final part of ‘Results and conclusions’ expected and verified benefits of implementing maintenance policies for planned and predictive maintenance are explained. Comparisons in some maintenance policies is given.