Modeling and optimization of advanced manufacturing processes /
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2018.
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| Series: | SpringerBriefs in applied sciences and technology. Manufacturing and surface engineering.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Intro; Preface; Contents; Nomenclature; 1 Introduction; 1.1 Introduction to Advanced Machining Processes; 1.1.1 Advantages of Advanced Machining Processes; 1.1.2 Disadvantages of Advanced Machining Processes; 1.1.3 Applications of Advanced Machining Processes; 1.2 Classification of Advanced Machining Processes; 1.3 Modeling and Optimization in Advanced Machining Processes; 1.4 Multi-criteria Decision-Making Optimization Techniques; 1.4.1 MCDM Techniques in Advanced Machining Processes; 1.5 Summary; References; 2 Modeling and Optimization of Electrical Discharge Machining; 2.1 Introduction
- 2.2 Integrated SOW-WGRA-Based MCDM Method2.3 Experimental Study; 2.3.1 Background; 2.3.2 Experimental Details; 2.4 Modeling of EDM Process; 2.5 Results and Discussion; 2.5.1 Optimum Combination of Process Parameters; 2.5.2 Optimum Input Parameter and Its Level Combination; 2.6 Summary; References; 3 Modeling and Optimization of Abrasive Water Jet Machining Process; 3.1 Introduction; 3.2 Integrated M-DEMATEL-TOPSIS-Based MCDM Method; 3.3 Experimental Study; 3.3.1 Background; 3.3.2 Workpiece Preparation; 3.3.3 Experimental Procedure; 3.3.4 Modeling of AWJM Process; 3.4 Results and Discussion
- 3.4.1 Optimum Combination of Process Parameters3.4.2 Optimum Input Parameters and Level Combination; 3.5 Summary; References; 4 Modeling and Optimization of Ultrasonic Machining Process; 4.1 Introduction; 4.2 Integrated Fuzzy-MCRA-Based MCDM Method; 4.3 Experimental Study; 4.3.1 Background; 4.3.2 Workpiece Preparation; 4.3.3 Experimental Procedure; 4.3.4 Modeling of USM Process; 4.4 Results and Discussion; 4.4.1 Optimum Combination of Process Parameters; 4.4.2 Optimum Input Parameters and Level Combination; 4.5 Summary; References; 5 Modeling and Optimization of Rapid Prototyping Process
- 5.1 Introduction5.2 Integrated Fuzzy-M-COPRAS-Based MCDM Method; 5.3 Experimental Study; 5.3.1 Background; 5.3.2 Workpiece Specimen; 5.3.3 Experimental Procedure; 5.3.4 Modeling of FDM Process; 5.4 Result and Discussions; 5.4.1 Optimum Combination of Process Parameters; 5.4.2 Optimum Input Parameters and Level Combination; 5.5 Summary; References; Index