Machining of nanocomposites emphasizes on different fabrication methods to develop nanocomposites (polymers, metals, and ceramics) and different machining processes used in industries. It describes issues, challenges and associated research trends and evaluates mechanical and wear properties of the composites as well.
Author(s): Ramesh Kumar Nayak, Mohan Kumar Pradhan, Ashok Kumar Sahoo
Publisher: CRC Press
Year: 2022
Language: English
Pages: 192
City: Boca Raton
Cover
Half Title
Title Page
Copyright Page
Table of Contents
Preface
Acknowledgments
Authors
Chapter 1 Introduction to Nanocomposites and Machining
1.1 Introduction
1.1.1 Nanocomposites
1.1.1.1 Organic Nanofillers
1.1.1.2 Inorganic Nanofillers
1.1.2 Mixing/ Blending of Nanofillers
1.1.2.1 Mechanical Mixing
1.1.2.2 Ultrasonic Mixing
1.1.2.3 Magnetic Stirring
1.1.2.4 Hybrid Mixing
1.1.2.5 Melt Blending
1.1.2.6 Functionalization and Grafting
1.1.2.7 Solution Mixing
1.1.3 Fabrication of Nanocomposites
1.1.3.1 Hand Lay-Up Method
1.1.3.2 Vacuum Resin Transfer Molding
1.1.3.3 Filament Winding
1.1.3.4 Pultrusion
1.1.4 Machining of Nanocomposites
1.1.4.1 Drilling
1.1.4.2 Milling
1.1.4.3 Abrasive Air-Jet Machining
1.1.4.4 Abrasive Water-Jet Machining
1.1.4.5 Laser Beam Machining
1.1.4.6 Ultrasonic Machining
1.1.4.7 Electrical Discharge Machining
References
Chapter 2 Conventional Machining of Nanocomposites
2.1 Introduction
2.2 Conventional Machining
2.2.1 Turning
2.2.2 Milling
2.2.3 Drilling
2.2.4 Grinding
2.3 Challenges and Future Prospects of Conventional Machining
Bibliography
Chapter 3 Advanced Machining of Nanocomposites
3.1 Introduction
3.2 Advanced Machining
3.2.1 Electrical Discharge Machining
3.2.2 Electrochemical Machining
3.2.3 Laser Beam Machining
3.2.4 Abrasive Air/ Water Jet Machining
3.2.5 Ultrasonic Machining
3.3 Challenges and Future Prospects of Advanced Machining
Bibliography
Chapter 4 Intelligent Machining of Nanocomposites
4.1 Introduction
4.2 Computational Techniques
4.2.1 Artificial Neural Network
4.2.2 Finite Element Method
4.2.3 Fuzzy Logic
4.2.4 Genetic Algorithm
4.2.5 Hybrid Modeling
4.2.6 Tool Condition Monitoring
4.3 Design of Experiments
4.3.1 Response Surface Methodology
4.3.2 Taguchi Design of Experiment
4.4 Multi-criterion Machining Optimization Techniques
4.4.1 Gray Relational Analysis
4.4.2 Principal Component Analysis
4.4.3 Desirability Approach
4.4.4 Genetic Algorithm
4.4.5 Particle Swarm Optimization
4.4.6 Multi-objective Optimization Based on Ratio Analysis
4.4.7 Technique for Order of Preference by Similarity to Ideal Solution
4.4.8 AHP, ANN, Utility Theory, and Taguchi's Quality Loss Function
4.4.9 Hybrid Optimization Techniques
4.5 Inferences
References
Chapter 5 Sustainable Machining of Nanocomposites
5.1 Introduction
5.2 Environmental Aspects
5.3 Social Aspects
5.4 Economical Aspects
5.5 Inferences
References
Index
