
Computational Intelligence in Manufacturing
Description
Key Features
- Includes hot topics such as augmented and virtual reality applications in manufacturing
- Provides details of computational techniques, such as nature inspired algorithms for manufacturing process modeling
- Gives practical technical advice on how to calibrate processes and tools to work efficiently in an industry 4.0 system
Readership
Table of Contents
1. Multiverse multiobjective optimization of thinning and wrinkling in automotive connector
2. An approach for machining curve cooling hole in plastic injection mold
3. Experimental and numerical investigation of deformation and forming behavior of dual-phase steel (DP 590) at elevated temperatures
4. Optimization of thermal efficiency of Scheffler solar concentrator receiver using slime mold algorithm
5. Study on drilling behavior of polymer nanocomposites modified by carbon nanomaterial with fiber: A case study
6. Machining performance analysis of micro-ED milling process of titanium alloy (Ti-6Al-4V)
7. Computational analysis of provisional study on white layer properties by EDM vs. WEDM of aluminum metal matrix composites
8. Scope of industry 4.0 components in manufacturing SMEs
9. Process parameter optimization in manufacturing of root canal device using gorilla troops optimization algorithm
10. A comprehensive review of agriculture irrigation using artificial intelligence for crop production
Product details
- No. of pages: 224
- Language: English
- Copyright: © Woodhead Publishing 2022
- Published: June 10, 2022
- Imprint: Woodhead Publishing
- Paperback ISBN: 9780323918541
About the Editors
Kaushik Kumar
Affiliations and Expertise
Ganesh Kakandikar
Affiliations and Expertise
J. Paulo Davim
Affiliations and Expertise
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