Modeling, Optimization and Design Method of Metal Manufacturing Processes

• その他の著者: Zhang, Guoqing (編集者), Zhao, Zejia (編集者), YIP, Wai Sze (編集者)
• フォーマット: 電子媒体 図書の章
• 言語: 英語
• 出版事項: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• 主題: Business strategy; Manufacturing industries; 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
• オンライン･アクセス: DOAB: download the publication; DOAB: description of the publication

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...