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Mathematical Engineering, Manufacturing, and Management Sciences Ser.: Advances in Sustainable Machining and Manufacturing Processes by Arbind Prasad (2022, Hardcover)
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Specifics
| Author | Arbind Prasad |
|---|---|
| Format | Hardcover |
| ISBN-10 | 1032081651 |
| ISBN-13 | 9781032081656 |
| Illustrated | Yes |
| Intended Audience | College Audience |
| Item Length | 9.2 in |
| Item Weight | 16 Oz |
| Item Width | 6.1 in |
| LC Classification Number | TS183 |
| LCCN | 2021-056978 |
| Language | English |
| Number of Pages | 306 Pages |
| Publication Name | Advances in Sustainable Machining and Manufacturing Processes |
| Publication Year | 2022 |
| Publisher | Taylor & Francis Group |
| Series | Mathematical Engineering, Manufacturing, and Management Sciences Ser. |
| Subject | Materials Science / General, Industrial Engineering, Mechanical, Manufacturing |
| Subject Area | Technology & Engineering |
| Synopsis | This book comprehensively covers basic concepts, advanced research topics, case studies, and advancement in sustainable machining techniques in a single volume. It will an ideal text for undergraduate, graduate students, and researchers in the fields of mechanical, manufacturing, industrial, production engineering and materials science., This text provides an in-depth overview of sustainability in machining processes, challenges during machining of difficult-to-cut materials and different ways of green machining in achieving sustainability. It discusses important topics including green and sustainable machining, dry machining, textured cutting coated tools for machining, solid lubricants-based machining, gas-cooled machining, cryogenic cooling for intelligent machining, artificial neural network for machining, big data based machining, and hybrid intelligent machining. This book- Covers advances in sustainable machining such as gas-cooled machining, near dry machining, and minimum quantity lubrication. Explores use of big data, machine learning and artificial intelligence for machining processes. Provides case studies and experimental design as well as results with analysis focusing on achieving sustainability. Discusses artificial intelligence and machine learning based machining processes. Cover the latest applications of sustainable manufacturing for a better understanding of the concepts. The text is primarily written for senior undergraduate, graduate students, and researchers in the fields of mechanical, manufacturing, industrial, production engineering and materials science. |
| Table Of Content | Section A: Sustainable Machining 1. Challenges in the machining of advanced materials 2. Machining advanced ceramics materials: Challenges and opportunities 3. Characterization and evaluation of eco-friendly cutting fluids 4. Advances in textured cutting tools for machining 5. Advances in MQL machining 6. Nanofluids applications for cutting fluids 7. Nanofluids for machining in the era of industry 4.0 8. Ionic liquids as a potential sustainable green lubricant for machining in the era of industry 4.0 9. Sustainable electrical discharge machining process - A pathway 10. Sustainable abrasive jet machining 11. Artificial neural network for machining 12. Machining and vibration behaviour of Ti-TiB composites processed through powder metallurgy techniques 13. FEM analysis during machining of AISI 4340 work piece using Al2O3 coated carbide tool and Compare with simulation result 14. Machining Performance Evaluation of Titanium Biomaterial, Ti6Al4V in CNC cylindrical turning using CBN Insert Section B: Manufacturing Processes 15. Industrial internet of things in manufacturing 16. Improvement in forming characteristics resulted in incremental sheet forming 17. Deformation mechanism of polymers, metals and their composites in dieless forming operation 18. Sustainable polishing of DED based cladding using micro-plasma transferred arc |
| Type | Textbook |
| brand | Taylor & Francis Group |
| gtin13 | 9781032081656 |