Machine learning applications in non-conventional machining processes / Goutam Kumar Bose, Pritam Pain.

Format:

Book

Author/Creator:

Bose, Goutam Kumar, 1970- author.

Pain, Pritam, 1993- author.

Series:

Advances in computational intelligence and robotics (ACIR) book series.

Advances in computational intelligence and robotics (ACIR) book series

Language:

English

Subjects (All):

Machining--Data processing.

Machining.

Physical Description:

27 PDFs (313 pages)

Place of Publication:

Hershey, Pennsylvania : IGI Global, [2021]

System Details:

Mode of access: World Wide Web.

Summary:

"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.

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.

Notes:

Description based on title screen (IGI Global, viewed 02/11/2021).

Includes bibliographical references and index.

Description based on print version record.

Includes index.

ISBN:

9781799836261

OCLC:

1140380791