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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.

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