Evolutionary Optimization of Material Removal Processes

Title: Evolutionary Optimization of Material Removal Processes
Author: Narendra Kumar, Pulak Mohan Pandey, Ravi Pratap Singh, Ravinder Kataria
ISBN: 1032192704 / 9781032192703
Format: Soft Cover
Pages: 250
Publisher: CRC Press
Year: 2024
Availability: 15-30 days

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The text comprehensively focuses on the concepts, implementation, and application of evolutionary algorithms for predicting, modeling, and optimizing the various material removal processes from their origin to the current advancements. This one-of-a-kind book encapsulates all the features related to the application and implementation of evolutionary algorithms for the purpose of predicting and optimizing the process characteristics of different machining methods and their allied processes that will provide comprehensive information. It broadly explains the concepts of employing evolutionary algorithm-based optimization in a broad domain of various material removal processes. Therefore, this book will enable prospective readers to take full advantage of recent findings and advancements in the fields of traditional, advanced, micro, and hybrid machining, among others. Moreover, the simplicity of its writing will keep readers engaged throughout and make it easier for them to understand the advanced topics.

The book-
• Offers a step-by-step guide to implement evolutionary algorithms for the overall optimization of conventional and contemporary machining processes
• Provides in-depth analysis of various material removal processes through evolutionary optimization
• Details an overview of different evolutionary optimization techniques
• Explores advanced processing of various engineering materials-based case studies
        
It further discusses different nature-inspired algorithms-based modeling, prediction, and modeling of machining responses in attempting advanced machining of the latest materials and related engineering problems along with case studies and practical examples. It will be an ideal reference text for graduate students and academic researchers working in the fields of mechanical engineering, aerospace engineering, industrial engineering, manufacturing engineering, and materials science.

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Chapter 1 : Experimental Investigation of Surface Roughness for Turning
Chapter 2 : Multi-response Optimization During High-speed Drilling of Composite Laminate
Chapter 3 : Implementation of Modern Meta-Heuristic Algorithms for Optimizing Machinability
Chapter 4 : Multi-Response Optimization in Turning of UD-GFRP 
Chapter 5 : Processes Parameters Optimization on Surface Roughness in Turning 
Chapter 6 : Application of ANN and Taguchi Technique for Material
Chapter 7 : Investigation of MRR in Face Turning Unidirectional GFRP
Chapter 8 : Optimization of CNC Milling Parameters for Al-CNT
Chapter 9 : Experimental Investigation of EDM Potential to Machine
Chapter 10 : Prediction and Neural Modeling of Material 
Chapter 11 : Optimization of End Milling Process Variables Using
Chapter 12 : Micro-Electrochemical Machining of Nimonic 263 Alloy