Modeling, Optimization and Design Method of Metal Manufacturing Processes

• Other Authors: Zhang, Guoqing (Editor), Zhao, Zejia (Editor), YIP, Wai Sze (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: 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
• Online Access: 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...