Computer-Aided Manufacturing and Design
Choi, Seung-Kyum
Computer-Aided Manufacturing and Design - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (198 p.)
Open Access
Recent advancements in computer technology have allowed for designers to have direct control over the production process through the help of computer-based tools, creating the possibility of a completely integrated design and manufacturing process. Over the last few decades, "artificial intelligence" (AI) techniques, such as machine learing and deep learning, have been topics of interest in computer-based design and manufacturing research fields. However, efforts to develop computer-based AI to handle big data in design and manufacturing have not yet been successful. This Special Issue aims to collect novel articles covering artificial intelligence-based design, manufacturing, and data-driven design. It will comprise academics, researchers, mechanical, manufacturing, production and industrial engineers and professionals related to engineering design and manufacturing.
Creative Commons
English
books978-3-03943-135-9 9783039431342 9783039431359
10.3390/books978-3-03943-135-9 doi
History of engineering & technology
product service system (PSS) availability field repair kit gradient-based algorithm robust genetic algorithm warpage design of experiments fringe pattern birefringence automatic design intelligent optimization method CFD fluid machinery pumps multi-function console data-driven design mismatch equation anthropometric measures algorithmic approach optimal design stretchable antenna-based strain sensor structural optimization structural health monitoring dimension reduction entropy-based correlation coefficient multidisciplinary design and analysis uncertainty-integrated and machine learning-based surrogate modeling additive manufacturing complexity modular design part consolidation product recovery product image design Kansei Engineering integrated decision system qualitative decision model quantitative decision model train seats measurement-assisted assembly coordination space assemblability small displacement torsor Kriging lower confidence bounding entropy theory product design simulation-based design optimization convolutional neural network object detection piping and instrument diagram unsupervised learning n/a
Computer-Aided Manufacturing and Design - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (198 p.)
Open Access
Recent advancements in computer technology have allowed for designers to have direct control over the production process through the help of computer-based tools, creating the possibility of a completely integrated design and manufacturing process. Over the last few decades, "artificial intelligence" (AI) techniques, such as machine learing and deep learning, have been topics of interest in computer-based design and manufacturing research fields. However, efforts to develop computer-based AI to handle big data in design and manufacturing have not yet been successful. This Special Issue aims to collect novel articles covering artificial intelligence-based design, manufacturing, and data-driven design. It will comprise academics, researchers, mechanical, manufacturing, production and industrial engineers and professionals related to engineering design and manufacturing.
Creative Commons
English
books978-3-03943-135-9 9783039431342 9783039431359
10.3390/books978-3-03943-135-9 doi
History of engineering & technology
product service system (PSS) availability field repair kit gradient-based algorithm robust genetic algorithm warpage design of experiments fringe pattern birefringence automatic design intelligent optimization method CFD fluid machinery pumps multi-function console data-driven design mismatch equation anthropometric measures algorithmic approach optimal design stretchable antenna-based strain sensor structural optimization structural health monitoring dimension reduction entropy-based correlation coefficient multidisciplinary design and analysis uncertainty-integrated and machine learning-based surrogate modeling additive manufacturing complexity modular design part consolidation product recovery product image design Kansei Engineering integrated decision system qualitative decision model quantitative decision model train seats measurement-assisted assembly coordination space assemblability small displacement torsor Kriging lower confidence bounding entropy theory product design simulation-based design optimization convolutional neural network object detection piping and instrument diagram unsupervised learning n/a