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El. knyga: Modeling and Optimization of Advanced Manufacturing Processes

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Modeling and Optimization of Advanced Manufacturing ProcessesDidesnis paveikslėlis
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This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed.

1 Introduction
1(14)
1.1 Introduction to Advanced Machining Processes
1(2)
1.1.1 Advantages of Advanced Machining Processes
2(1)
1.1.2 Disadvantages of Advanced Machining Processes
2(1)
1.1.3 Applications of Advanced Machining Processes
3(1)
1.2 Classification of Advanced Machining Processes
3(1)
1.3 Modeling and Optimization in Advanced Machining Processes
3(2)
1.4 Multi-criteria Decision-Making Optimization Techniques
5(6)
1.4.1 MCDM Techniques in Advanced Machining Processes
6(5)
1.5 Summary
11(4)
References
12(3)
2 Modeling and Optimization of Electrical Discharge Machining
15(14)
2.1 Introduction
15(2)
2.2 Integrated SOW-WGRA-Based MCDM Method
17(3)
2.3 Experimental Study
20(2)
2.3.1 Background
20(1)
2.3.2 Experimental Details
21(1)
2.4 Modeling of EDM Process
22(3)
2.5 Results and Discussion
25(1)
2.5.1 Optimum Combination of Process Parameters
25(1)
2.5.2 Optimum Input Parameter and Its Level Combination
26(1)
2.6 Summary
26(3)
References
27(2)
3 Modeling and Optimization of Abrasive Water Jet Machining Process
29(16)
3.1 Introduction
29(2)
3.2 Integrated M-DEMATEL--TOPSIS-Based MCDM Method
31(4)
3.3 Experimental Study
35(6)
3.3.1 Background
35(1)
3.3.2 Workpiece Preparation
35(1)
3.3.3 Experimental Procedure
36(1)
3.3.4 Modeling of AWJM Process
37(4)
3.4 Results and Discussion
41(2)
3.4.1 Optimum Combination of Process Parameters
41(1)
3.4.2 Optimum Input Parameters and Level Combination
42(1)
3.5 Summary
43(2)
References
44(1)
4 Modeling and Optimization of Ultrasonic Machining Process
45(14)
4.1 Introduction
45(2)
4.2 Integrated Fuzzy-MCRA-Based MCDM Method
47(2)
4.3 Experimental Study
49(5)
4.3.1 Background
49(1)
4.3.2 Workpiece Preparation
49(1)
4.3.3 Experimental Procedure
49(2)
4.3.4 Modeling of USM Process
51(3)
4.4 Results and Discussion
54(1)
4.4.1 Optimum Combination of Process Parameters
54(1)
4.4.2 Optimum Input Parameters and Level Combination
55(1)
4.5 Summary
55(4)
References
56(3)
5 Modeling and Optimization of Rapid Prototyping Process
59(16)
5.1 Introduction
59(3)
5.2 Integrated Fuzzy--M-COPRAS-Based MCDM Method
62(3)
5.3 Experimental Study
65(5)
5.3.1 Background
65(1)
5.3.2 Workpiece Specimen
65(1)
5.3.3 Experimental Procedure
66(2)
5.3.4 Modeling of FDM Process
68(2)
5.4 Result and Discussions
70(3)
5.4.1 Optimum Combination of Process Parameters
70(1)
5.4.2 Optimum Input Parameters and Level Combination
71(2)
5.5 Summary
73(2)
References
73(2)
Index 75
Sumit Bhowmik is an Assistant Professor at the Department of Mechanical Engineering, National Institute of Technology Silchar, Assam, India. Composite materials, optimization techniques and mechanical behaviour of materials under different constraint are his current research area of interest.  Jagadish is an Assistant Professor at the Department of Mechanical Engineering, National Institute of Technology Silchar, Assam, India. His areas of interests are Modeling of advanced manufacturing process, Green manufacturing and Applied soft computing techniques. 





Kapil Gupta is an Associate Professor  at the Dept. of Mechanical and Industrial Engineering Technology at the University of Johannesburg, South Africa. Advanced machining processes, sustainable manufacturing, precision engineering and gear technology are the areas of his interest and specialization. Currently, he is doing research in advanced/modern machining, sustainable manufacturing and gear engineering.
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