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Modeling, Optimization and Design Method of Metal Manufacturing Processes
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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.
This book is included in DOAB.
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Keywords
- 3D auxetic structures
- A380 alloy
- AlFeSi phase
- amorphous alloys
- ANOVA
- assisted machining
- Business & management
- Business strategy
- Ca
- chip formation
- coating technology
- cutting forces
- decision-support system
- deformation mechanism
- difficult-to-machine
- drilling
- ECAP
- Economics, finance, business & management
- Fe-based amorphous alloys
- grain size
- gray cast iron
- high-frequency PCB
- hot filament chemical vapor deposition
- Industry & industrial studies
- just-in-time learning
- Machine learning
- Manufacturing industries
- Metallic Materials
- micro assembled
- micro-cutting
- n/a
- Numerical Simulation
- OFHC copper C102
- optimisation algorithm
- orthogonal cutting
- PCBN tool
- processing parameters
- q-learning
- refine
- reinforcement learning
- sample similarities
- selective laser melting
- steelmaking process CAS-OB
- Stress
- structural surface layer model
- surface integrity
- surface quality
- temperature
- temperature prediction
- tool edge preparation
- tool wear
- variable correlations
- weighted regularized extreme learning machine
Links
DOI: 10.3390/books978-3-0365-6033-5Editions