Description
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.
Table of Contents
Acknowledgments ix
Preface xi
Editors xiii
Contributors xvii
Introduction 1
1 Experimental Investigation of Surface Roughness for
Turning of UD-GFRP Composite Using PSO, GSA,
and PSOGSA Techniques 3
MEENU AND SURINDER KUMAR
2 Multi-response Optimization During High-speed Drilling
of Composite Laminate Using Grey Entropy Fuzzy (GEF)
and Entropy-Based Weight Integrated Multi-Variate Loss
Function 23
JALUMEDI BABU, KHALEEL AHMED, LIJO PAUL, ABYSON SCARIA,
AND J. PAULO DAVIM
3 Implementation of Modern Meta-Heuristic Algorithms for
Optimizing Machinability in Dry CNC Finish-Turning of
AISI H13 Die Steel Under Annealed and Hardened States 45
NIKOLAOS A. FOUNTAS, IOANNIS PAPANTONIOU, JOHN KECHAGIAS,
DIMITRIOS E. MANOLAKOS, AND NIKOLAOS M. VAXEVANIDIS
4 Multi-Response Optimization in Turning of UD-GFRP
Composites using Weighted Principal Component
Analysis (WPCA) 61
MEENU AND SURINDER KUMAR
5 Processes Parameters Optimization on Surface Roughness
in Turning of E-glass UD-GFRP Composites Using Flower
Pollination Algorithm (FPA) 79
SURINDER KUMAR AND MEENU
6 Application of ANN and Taguchi Technique for Material
Removal Rate by Abrasive Jet Machining with Special
Abrasive Materials 97
SACHIN P. AMBADE, CHETAN K. TEMBHURKAR, SAGAR SHELARE,
AND SANTOSH GUPTA
7 Investigation of MRR in Face Turning Unidirectional GFRP
Composites by Using Multiple Regression Methodology and
an Artificial Neural Network 129
SURINDER KUMAR, MEENU, AND PAWAN KUMAR
8 Optimization of CNC Milling Parameters for Al-CNT
Composites Using an Entropy-Based Neutrosophic Grey
Relational TOPSIS Method 147
SACHCHIDA NAND, MANVANDRA K SINGH, AND C M KRISHNA
9 Experimental Investigation of EDM Potential to Machine
AISI 202 Using a Copper-Alloy Electrode and Its Modelling
by an Artificial Neural Network 167
SUBHASH SINGH AND GIRIJA NANDAN ARKA
10 Prediction and Neural Modeling of Material Removal Rate
in Electrochemical Machining of Nimonic-263 Alloy 183
DILKUSH BAIRWA, DR RAVI PRATAP SINGH, DR RAVINDER KATARIA,
DR RAVI BUTOLA, DR MOHD JAVAID, SHAILENDRA CHAUHAN,
AND MADHUSUDAN PAINULY
11 Optimization of End Milling Process Variables Using a
Multi-Objective Genetic Algorithm 197
JIGNESH GIRISHBHAI PARMAR AND
DR. KOMAL GHANSHYAMBHAI DAVE
12 Micro-Electrochemical Machining of Nimonic 263 Alloy:
An Experimental Investigation and ANN-Based Prediction
of Radial Over Cut 215
DILKUSH BAIRWA, DR RAVI PRATAP SINGH, DR RAVINDER KATARIA,
DR SANDEEP SINGHAL, DR NARENDRA KUMAR, SHAILENDRA CHAUHAN,
AND MADHUSUDAN PAINULY
Index 229
