Book ; Online: Recent Advances and Applications of Machine Learning in Metal Forming Processes
2022
Keywords | Technology: general issues ; History of engineering & technology ; Mining technology & engineering ; sheet metal forming ; uncertainty analysis ; metamodeling ; machine learning ; hot rolling strip ; edge defects ; intelligent recognition ; convolutional neural networks ; deep-drawing ; kriging metamodeling ; multi-objective optimization ; FE (Finite Element) AutoForm robust analysis ; defect prediction ; mechanical properties prediction ; high-dimensional data ; feature selection ; maximum information coefficient ; complex network clustering ; ring rolling ; process energy estimation ; metal forming ; thermo-mechanical FEM analysis ; artificial neural network ; aluminum alloy ; mechanical property ; UTS ; topological optimization ; artificial neural networks (ANN) ; machine learning (ML) ; press-brake bending ; air-bending ; three-point bending test ; sheet metal ; buckling instability ; oil canning ; artificial intelligence ; convolution neural network ; hot rolled strip steel ; defect classification ; generative adversarial network ; attention mechanism ; deep learning ; mechanical constitutive model ; finite element analysis ; plasticity ; parameter identification ; full-field measurements ; n/a |
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Language | English |
Size | 1 electronic resource (210 pages) |
Publisher | MDPI - Multidisciplinary Digital Publishing Institute |
Publishing place | Basel |
Document type | Book ; Online |
Note | English |
HBZ-ID | HT030374318 |
ISBN | 9783036557724 ; 3036557725 |
Database | ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture |
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