Optimization of machining parameters during end milling of super alloys using Grey based Taguchi method coupled with entropy measurement technique
Abstract
High-quality products include those with better surface quality and texture, close dimensional tolerances and form accuracies at precise level, increase fatigue life and burr-free. Burr formation is one of the most common inevitable facts occurring in all material removal processes, reduces assembly and machined part quality. But, burr formation during milling is a more complex mechanism compare to remaining machining burrs and leads to numerous difficulties during the deburring process. To prevent this, one should optimize the combination of cutting parameters during machining itself. In order to build up a link between quality and productivity and to attain the same in the cost-effective way, the present work concentrate on multi objective optimization of CNC end milling process parameters. Multiple performance characteristics with respect to surface quality and performance index like assembly work have been put up, to assess an equivalent single quality index (called grey relational grade) has been optimized finally by Grey based Taguchi method. After that priority weight of individual quality and performance attributes has been estimated by entropy measurement technique on the basis of relative significance and check the feasibility of the proposed technique has been demonstrated in this context.
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Author Biographies
Reddy Sreenivasulu is Assistant Professor in the department of Mechanical Engineering, R.V.R & J.C College of Engineering (A) Guntur, Andhra Pradesh, India. He received Ph.D degree from Andhra University, Visakhapatnam in the year 2018, M.E degree from the Osmania University, Hyderabad in the year 2003 and B.Tech Mechanical Engineering from Regional Engineering College Warangal in the year 1997. He has 19 years of teaching experience. His area of research interest includes design of experiments, robotics, modeling and analysis of manufacturing processes and optimization. He has published more than 60 research papers in the international journal/conferences proceedings and acting as a reviewer for a peer reviewed referred journals.
Ch. Srinivasa Rao is a professor in Mechanical Engineering Department of Andhra University College of Engineering, Visakhapatnam. He guided more than 10 research scholars and several Post Graduate students in various domains of Mechanical Engineering. He published more than 150 national and International journals with high eminence.
Copyright (c) 2020 Reddy Sreenivasulu, Ch. Srinivasa Rao
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