Modeling, Optimization and Design Method of Metal Manufacturing Processes
Metal manufacturing is a fundamental and indispensable technology in the processing of raw metals into desired products, which significantly promotes the development of industry and society overall. This book presents original research and a state of the art review of contemporary metal manufacturin...
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| Format: | Online |
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| Sprache: | Englisch |
| Veröffentlicht: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online-Zugang: | ONIX_20230105_9783036560342_100 |
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| _version_ | 1869517539195748352 |
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| collection | Directory of Open Access Books |
| description | Metal manufacturing is a fundamental and indispensable technology in the processing of raw metals into desired products, which significantly promotes the development of industry and society overall. This book presents original research and a state of the art review of contemporary metal manufacturing processes, especially in the modeling, optimization, and design of the manufacturing processes. This book covers topics such as machine learning algorithms in manufacturing metal products, the fabrication and optimization of mechanical properties of metals, and numerical simulations and experiments in the machining of metals. The book presents some essential theories and successful manufacturing techniques for the low-cost and highly efficient production of metals. |
| format | Online |
| id | doab-20.500.12854ir-95871 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-958712024-03-30T12:52:21Z Modeling, Optimization and Design Method of Metal Manufacturing Processes Zhang, Guoqing Zhao, Zejia YIP, Wai Sze machine learning reinforcement learning Q-learning steelmaking process CAS-OB decision-support system optimisation algorithm 3D auxetic structures selective laser melting micro assembled structural surface layer model A380 alloy Ca AlFeSi phase refine micro-cutting grain size surface integrity cutting forces chip formation OFHC copper C102 amorphous alloys Fe-based amorphous alloys difficult-to-machine assisted machining high-frequency PCB drilling coating technology tool wear hot filament chemical vapor deposition PCBN tool gray cast iron surface quality temperature prediction weighted regularized extreme learning machine just-in-time learning sample similarities variable correlations tool edge preparation orthogonal cutting numerical simulation ANOVA temperature stress ECAP metallic materials processing parameters deformation mechanism n/a thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJC Business strategy thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KND Manufacturing industries Metal manufacturing is a fundamental and indispensable technology in the processing of raw metals into desired products, which significantly promotes the development of industry and society overall. This book presents original research and a state of the art review of contemporary metal manufacturing processes, especially in the modeling, optimization, and design of the manufacturing processes. This book covers topics such as machine learning algorithms in manufacturing metal products, the fabrication and optimization of mechanical properties of metals, and numerical simulations and experiments in the machining of metals. The book presents some essential theories and successful manufacturing techniques for the low-cost and highly efficient production of metals. 2023-01-05T12:36:29Z 2023-01-05T12:36:29Z 2022 book ONIX_20230105_9783036560342_100 9783036560342 9783036560335 https://directory.doabooks.org/handle/20.500.12854/95871 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6528 https://mdpi.com/books/pdfview/book/6528 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6033-5 10.3390/books978-3-0365-6033-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036560342 9783036560335 214 Basel open access |
| spellingShingle | machine learning reinforcement learning Q-learning steelmaking process CAS-OB decision-support system optimisation algorithm 3D auxetic structures selective laser melting micro assembled structural surface layer model A380 alloy Ca AlFeSi phase refine micro-cutting grain size surface integrity cutting forces chip formation OFHC copper C102 amorphous alloys Fe-based amorphous alloys difficult-to-machine assisted machining high-frequency PCB drilling coating technology tool wear hot filament chemical vapor deposition PCBN tool gray cast iron surface quality temperature prediction weighted regularized extreme learning machine just-in-time learning sample similarities variable correlations tool edge preparation orthogonal cutting numerical simulation ANOVA temperature stress ECAP metallic materials processing parameters deformation mechanism n/a thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJC Business strategy thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KND Manufacturing industries Modeling, Optimization and Design Method of Metal Manufacturing Processes |
| title | Modeling, Optimization and Design Method of Metal Manufacturing Processes |
| title_full | Modeling, Optimization and Design Method of Metal Manufacturing Processes |
| title_fullStr | Modeling, Optimization and Design Method of Metal Manufacturing Processes |
| title_full_unstemmed | Modeling, Optimization and Design Method of Metal Manufacturing Processes |
| title_short | Modeling, Optimization and Design Method of Metal Manufacturing Processes |
| title_sort | modeling optimization and design method of metal manufacturing processes |
| topic | machine learning reinforcement learning Q-learning steelmaking process CAS-OB decision-support system optimisation algorithm 3D auxetic structures selective laser melting micro assembled structural surface layer model A380 alloy Ca AlFeSi phase refine micro-cutting grain size surface integrity cutting forces chip formation OFHC copper C102 amorphous alloys Fe-based amorphous alloys difficult-to-machine assisted machining high-frequency PCB drilling coating technology tool wear hot filament chemical vapor deposition PCBN tool gray cast iron surface quality temperature prediction weighted regularized extreme learning machine just-in-time learning sample similarities variable correlations tool edge preparation orthogonal cutting numerical simulation ANOVA temperature stress ECAP metallic materials processing parameters deformation mechanism n/a thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJC Business strategy thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KND Manufacturing industries |
| topic_facet | machine learning reinforcement learning Q-learning steelmaking process CAS-OB decision-support system optimisation algorithm 3D auxetic structures selective laser melting micro assembled structural surface layer model A380 alloy Ca AlFeSi phase refine micro-cutting grain size surface integrity cutting forces chip formation OFHC copper C102 amorphous alloys Fe-based amorphous alloys difficult-to-machine assisted machining high-frequency PCB drilling coating technology tool wear hot filament chemical vapor deposition PCBN tool gray cast iron surface quality temperature prediction weighted regularized extreme learning machine just-in-time learning sample similarities variable correlations tool edge preparation orthogonal cutting numerical simulation ANOVA temperature stress ECAP metallic materials processing parameters deformation mechanism n/a thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJC Business strategy thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KND Manufacturing industries |
| url | ONIX_20230105_9783036560342_100 |