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Machine learning applications in non-conventional machining processes

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine learning applications in non-conventional machining processes/ Goutam Kumar Bose and Pritam Pain, editors.
other author:	Bose, Goutam Kumar,
Published:	Hershey, Pennsylvania :IGI Global, : 2020.,
Description:	paperback 1 online resource (xxv, 313 p.)
Subject:	Machining - Data processing. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3624-7
ISBN:	9781799836261 (ebk.)

Machine learning applications in non-conventional machining processes
Machine learning applications in non-conventional machining processes[electronic resource] /Goutam Kumar Bose and Pritam Pain, editors. - Hershey, Pennsylvania :IGI Global,2020. - paperback 1 online resource (xxv, 313 p.)

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.

"This book is a collection of research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field"--

ISBN: 9781799836261 (ebk.)Subjects--Topical Terms:

1340866
Machining
--Data processing.

LC Class. No.: TJ1189 / .M33 2020

Dewey Class. No.: 671.3/50285631

Machine learning applications in non-conventional machining processes
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245 0 0 $a Machine learning applications in non-conventional machining processes $h [electronic resource] / $c Goutam Kumar Bose and Pritam Pain, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020.
300 $a paperback 1 online resource (xxv, 313 p.)
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.
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.
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700 1 $a Bose, Goutam Kumar, $d 1970- $3 1253378
700 1 $a Pain, Pritam, $d 1993- $3 1340865
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