Abstract
The present paper attempts to focus an application of a hybrid methodology comprising of Taguchi methodology (TM) coupled with response surface methodology (RSM) for modeling and TM coupled with weighted principal component (WPC) methodology for multiobjective optimization of a self developed traveling wire electro-chemical spark machining (TW-ECSM) process. First optimum level of input parameters is found using TM which is used as the central values in RSM to develop the second-order response model. For multiobjective optimization two quality characteristics surface roughness (Ra) and material removal rate (MRR), which are of opposite nature (Ra is the lower-the-better type, while MRR is the higher-the-better type), have been selected. The WPC is employed for the calculation of weight corresponding to each quality characteristic. The results indicate that the hybrid approaches applied for modeling and optimization of the TW-ECSM process are reasonable.
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Basanta Kumar Bhuyan received his M.Tech from Moharshi Dayananda University, Rohtak, Haryana, India in 2008. He is currently pursuing his Ph.D. in the Department of Mechanical Engineering, Motilal Nehru National Institute of Technology Allahabad, Allahabad (India). His area of interest includes Conventional and Unconventional Machining Processes, Machining of Advanced Engineering Materials, Application of FEM and Design of Experiments in Manufacturing.
Vinod Yadava is currently a Professor in the Department of Mechanical Engineering and Dean (Research and Consultancy), Motilal Nehru National Institute of Technology Allahabad, Allahabad (India). He received his Ph.D. from Indian Institute of Technology Kanpur, (India) in 2002. His research area includes Advanced Manufacturing Science and Technology, Micromachining Science and Technology, Applications of Finite Element Method, Design of Experiments and Soft Computing Methods in Manufacturing.
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Bhuyan, B.K., Yadava, V. Experimental modeling and multi-objective optimization of traveling wire electrochemical spark machining (TW-ECSM) process. J Mech Sci Technol 27, 2467–2476 (2013). https://doi.org/10.1007/s12206-013-0632-7
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DOI: https://doi.org/10.1007/s12206-013-0632-7