Machine learning applications in non-conventional machining processes:
"This book is a collection of research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field"--
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2020]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "This book is a collection of research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field"-- |
| Physical Description: | 27 PDFs (313 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781799836261 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Machine learning applications in non-conventional machining processes |c Goutam Kumar Bose and Pritam Pain, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c [2020] | |
| 300 | |a 27 PDFs (313 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Parametric optimization of dry laser cleaning using metaheuristics processes: to study the effect of laser cleaning parameters on surface temperature rise and thermo-elastic force -- Chapter 2. MCDM-based optimization of performance characteristics during μedming of SS 304 -- Chapter 3. Multi-objective optimization of EDM process on AISI p-20 tool steel using multi-criteria decision-making technique -- Chapter 4. Analysis of performance characteristics by firefly algorithm-based electro discharge machining of SS 316 -- Chapter 5. Programming for machining in electrical discharge machine: a non-conventional machining technique -- Chapter 6. Multi-objective optimization in WEDM of Al 7075 alloy using TOPSIS and GRA method -- Chapter 7. Experimental evaluation on corner accuracy in WEDM for aluminium 6061 alloy -- Chapter 8. Evaluation of surface roughness in wire electrical discharge turning process -- Chapter 9. Laser trepan drilling of monel K-500 superalloy in low power laser beam machining -- Chapter 10. Experimental investigation on laser transmission welding of polycarbonate and acrylic -- Chapter 11. Application of evolutionary optimization techniques towards non-traditional machining for performance enhancement -- Chapter 12. Analysis of non-traditional machining processes using machine learning -- Chapter 13. Role of non-traditional machining equipment in industry 4.0 -- Chapter 14. Finite element-based optimization of additive manufacturing process using statistical modelling and league of champion algorithm -- Chapter 15. A novel approach towards selection of role model cluster head for power management in WSN -- Chapter 16. Synthesis and characterization of nanocomposites for the application in hybrid solar cell -- Chapter 17. Intelligent investment approaches for mutual funds: an evolutionary model. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book is a collection of research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Description based on title screen (IGI Global, viewed 02/11/2021). | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Machining |x Data processing. | |
| 650 | 7 | |a Machine learning. |2 fast | |
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Artificial Neural Networks. | ||
| 653 | |a Data Mining. | ||
| 653 | |a Environmental Manufacturing. | ||
| 653 | |a Evolutionary Algorithms. | ||
| 653 | |a Fuzzy Set Theory. | ||
| 653 | |a Hybrid Machining. | ||
| 653 | |a Micro-Machining. | ||
| 653 | |a Optimization Techniques. | ||
| 653 | |a Statistical Learning Algorithms. | ||
| 700 | 1 | |a Bose, Goutam Kumar |d 1970- |e editor. | |
| 700 | 1 | |a Pain, Pritam |d 1993- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019057524 | |
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Record in the Search Index
| DE-BY-FWS_katkey | ZDB-98-IGB-00243738 |
|---|---|
| _version_ | 1826942598283001856 |
| adam_text | |
| any_adam_object | |
| author2 | Bose, Goutam Kumar 1970- Pain, Pritam 1993- |
| author2_role | edt edt |
| author2_variant | g k b gk gkb p p pp |
| author_facet | Bose, Goutam Kumar 1970- Pain, Pritam 1993- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TJ1189 |
| callnumber-raw | TJ1189 .M33 2020e |
| callnumber-search | TJ1189 .M33 2020e |
| callnumber-sort | TJ 41189 M33 42020E |
| callnumber-subject | TJ - Mechanical Engineering and Machinery |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Parametric optimization of dry laser cleaning using metaheuristics processes: to study the effect of laser cleaning parameters on surface temperature rise and thermo-elastic force -- Chapter 2. MCDM-based optimization of performance characteristics during μedming of SS 304 -- Chapter 3. Multi-objective optimization of EDM process on AISI p-20 tool steel using multi-criteria decision-making technique -- Chapter 4. Analysis of performance characteristics by firefly algorithm-based electro discharge machining of SS 316 -- Chapter 5. Programming for machining in electrical discharge machine: a non-conventional machining technique -- Chapter 6. Multi-objective optimization in WEDM of Al 7075 alloy using TOPSIS and GRA method -- Chapter 7. Experimental evaluation on corner accuracy in WEDM for aluminium 6061 alloy -- Chapter 8. Evaluation of surface roughness in wire electrical discharge turning process -- Chapter 9. Laser trepan drilling of monel K-500 superalloy in low power laser beam machining -- Chapter 10. Experimental investigation on laser transmission welding of polycarbonate and acrylic -- Chapter 11. Application of evolutionary optimization techniques towards non-traditional machining for performance enhancement -- Chapter 12. Analysis of non-traditional machining processes using machine learning -- Chapter 13. Role of non-traditional machining equipment in industry 4.0 -- Chapter 14. Finite element-based optimization of additive manufacturing process using statistical modelling and league of champion algorithm -- Chapter 15. A novel approach towards selection of role model cluster head for power management in WSN -- Chapter 16. Synthesis and characterization of nanocomposites for the application in hybrid solar cell -- Chapter 17. Intelligent investment approaches for mutual funds: an evolutionary model. |
| ctrlnum | (CaBNVSL)slc00001089 (OCoLC)1140380791 |
| dewey-full | 671.3/50285631 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 671 - Metalworking & primary metal products |
| dewey-raw | 671.3/50285631 |
| dewey-search | 671.3/50285631 |
| dewey-sort | 3671.3 850285631 |
| dewey-tens | 670 - Manufacturing |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00243738 |
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| indexdate | 2025-03-18T14:30:33Z |
| institution | BVB |
| isbn | 9781799836261 |
| language | English |
| oclc_num | 1140380791 |
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| physical | 27 PDFs (313 Seiten) Also available in print. |
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| publishDate | 2020 |
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| spelling | Machine learning applications in non-conventional machining processes Goutam Kumar Bose and Pritam Pain, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [2020] 27 PDFs (313 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Parametric optimization of dry laser cleaning using metaheuristics processes: to study the effect of laser cleaning parameters on surface temperature rise and thermo-elastic force -- Chapter 2. MCDM-based optimization of performance characteristics during μedming of SS 304 -- Chapter 3. Multi-objective optimization of EDM process on AISI p-20 tool steel using multi-criteria decision-making technique -- Chapter 4. Analysis of performance characteristics by firefly algorithm-based electro discharge machining of SS 316 -- Chapter 5. Programming for machining in electrical discharge machine: a non-conventional machining technique -- Chapter 6. Multi-objective optimization in WEDM of Al 7075 alloy using TOPSIS and GRA method -- Chapter 7. Experimental evaluation on corner accuracy in WEDM for aluminium 6061 alloy -- Chapter 8. Evaluation of surface roughness in wire electrical discharge turning process -- Chapter 9. Laser trepan drilling of monel K-500 superalloy in low power laser beam machining -- Chapter 10. Experimental investigation on laser transmission welding of polycarbonate and acrylic -- Chapter 11. Application of evolutionary optimization techniques towards non-traditional machining for performance enhancement -- Chapter 12. Analysis of non-traditional machining processes using machine learning -- Chapter 13. Role of non-traditional machining equipment in industry 4.0 -- Chapter 14. Finite element-based optimization of additive manufacturing process using statistical modelling and league of champion algorithm -- Chapter 15. A novel approach towards selection of role model cluster head for power management in WSN -- Chapter 16. Synthesis and characterization of nanocomposites for the application in hybrid solar cell -- Chapter 17. Intelligent investment approaches for mutual funds: an evolutionary model. Restricted to subscribers or individual electronic text purchasers. "This book is a collection of research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 02/11/2021). Machine learning. Machining Data processing. Machine learning. fast Artificial Intelligence. Artificial Neural Networks. Data Mining. Environmental Manufacturing. Evolutionary Algorithms. Fuzzy Set Theory. Hybrid Machining. Micro-Machining. Optimization Techniques. Statistical Learning Algorithms. Bose, Goutam Kumar 1970- editor. Pain, Pritam 1993- editor. IGI Global, publisher. (Original) (DLC)2019057524 Print version: 179983624X 9781799836247 (DLC) 2019057524 |
| spellingShingle | Machine learning applications in non-conventional machining processes Chapter 1. Parametric optimization of dry laser cleaning using metaheuristics processes: to study the effect of laser cleaning parameters on surface temperature rise and thermo-elastic force -- Chapter 2. MCDM-based optimization of performance characteristics during μedming of SS 304 -- Chapter 3. Multi-objective optimization of EDM process on AISI p-20 tool steel using multi-criteria decision-making technique -- Chapter 4. Analysis of performance characteristics by firefly algorithm-based electro discharge machining of SS 316 -- Chapter 5. Programming for machining in electrical discharge machine: a non-conventional machining technique -- Chapter 6. Multi-objective optimization in WEDM of Al 7075 alloy using TOPSIS and GRA method -- Chapter 7. Experimental evaluation on corner accuracy in WEDM for aluminium 6061 alloy -- Chapter 8. Evaluation of surface roughness in wire electrical discharge turning process -- Chapter 9. Laser trepan drilling of monel K-500 superalloy in low power laser beam machining -- Chapter 10. Experimental investigation on laser transmission welding of polycarbonate and acrylic -- Chapter 11. Application of evolutionary optimization techniques towards non-traditional machining for performance enhancement -- Chapter 12. Analysis of non-traditional machining processes using machine learning -- Chapter 13. Role of non-traditional machining equipment in industry 4.0 -- Chapter 14. Finite element-based optimization of additive manufacturing process using statistical modelling and league of champion algorithm -- Chapter 15. A novel approach towards selection of role model cluster head for power management in WSN -- Chapter 16. Synthesis and characterization of nanocomposites for the application in hybrid solar cell -- Chapter 17. Intelligent investment approaches for mutual funds: an evolutionary model. Machine learning. Machining Data processing. Machine learning. fast |
| title | Machine learning applications in non-conventional machining processes |
| title_auth | Machine learning applications in non-conventional machining processes |
| title_exact_search | Machine learning applications in non-conventional machining processes |
| title_full | Machine learning applications in non-conventional machining processes Goutam Kumar Bose and Pritam Pain, editors. |
| title_fullStr | Machine learning applications in non-conventional machining processes Goutam Kumar Bose and Pritam Pain, editors. |
| title_full_unstemmed | Machine learning applications in non-conventional machining processes Goutam Kumar Bose and Pritam Pain, editors. |
| title_short | Machine learning applications in non-conventional machining processes |
| title_sort | machine learning applications in non conventional machining processes |
| topic | Machine learning. Machining Data processing. Machine learning. fast |
| topic_facet | Machine learning. Machining Data processing. |
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