Computer-Aided Manufacturing and Design

• Autore: Choi Seung-Kyum
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (198 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: additive manufacturing; algorithmic approach; anthropometric measures; assemblability; automatic design; availability; birefringence; CFD; complexity; convolutional neural network; coordination space; data-driven design; design of experiments; dimension reduction; entropy theory; entropy-based correlation coefficient; field repair kit; fluid machinery; fringe pattern; gradient-based algorithm; integrated decision system; intelligent optimization method; Kansei Engineering; Kriging; lower confidence bounding; measurement-assisted assembly; mismatch equation; modular design; multi-function console; multidisciplinary design and analysis; n/a; object detection; optimal design; part consolidation; piping and instrument diagram; product design; product image design; product recovery; product service system (PSS); pumps; qualitative decision model; quantitative decision model; robust genetic algorithm; simulation-based design optimization; small displacement torsor; stretchable antenna-based strain sensor; structural health monitoring; structural optimization; train seats; uncertainty-integrated and machine learning-based surrogate modeling; unsupervised learning; warpage
• Persona (resp. second.): GorguluarslanRecep M; ZhouQi; ChoiSeung-Kyum
• Sommario/riassunto: 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.
• Titolo autorizzato: Computer-Aided Manufacturing and Design
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557700003321
• Lo trovi qui: Univ. Federico II