Experimental investigation and performance analysis of cemented carbide inserts of different geometries using Taguchi based grey relational analysis |
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| Affiliation: | 1. Adhiparasakthi Engineering College, Melmaruvathur 603319, Tamil Nadu, India;2. TRP Engineering College, Irungalur, Tiruchirappalli 621105, India;3. National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India;1. Dept. of Electronics and Multimedia Communications, FEI Technical University of Ko?ice, Slovak Republic;2. Budapest University of Technology and Economics, Dept. of Measurement, Budapest, Hungary;1. School of Civil Engineering, Dalian University of Technology, Dalian 116024, PR China;2. School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, PR China;1. Department of Chemical, Metallurgical and Materials Engineering, Tshwane University of Technology, P.M.B. X680, Pretoria, South Africa;2. Surface Engineering and Research Laboratory, Tshwane University of Technology, P.M.B. X680, Pretoria, South Africa;3. Centre for Energy and Electric Power, Department of Electrical Engineering, Tshwane University of Technology, P.M.B. X680, Pretoria, South Africa;4. Covenant University, P.M.B. 123, Ota, Nigeria;1. Department of Mechanical Engineering, I.K.G.P.T.U Main Campus, Kapurthala, Punjab, India;2. Department of Mechanical Engineering, G.N.D.E.C, Ludhiana, Punjab, India |
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| Abstract: | In this work, effect of machining parameters cutting speed, feed rate and depth of cut, geometrical parameters cutting insert shape, relief angle and nose radius were investigated and optimized using Taguchi based grey relational analysis. 18 ISO designated uncoated cemented carbide inserts of different geometries were used to turn practically used automotive axles to study the influence of variation in carbide inserts geometry. Performance measures viz., flank wear, surface roughness and material removal rate (MRR) were optimized using grey relational grade, based on the experiments designed using Taguchi’s Design of Experiments (DoE). A weighted grey relational grade is calculated to minimize flank wear and surface roughness and to maximize MRR. Analysis of variance shows that cutting insert shape is the prominent parameter followed by feed rate and depth of cut that contributes towards output responses. An experiment conducted with identified optimum condition shows a lower flank wear and surface roughness with higher MRR. The confirmation results obtained are confirmed by calculating confidence interval, which lies within the width of the interval. |
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| Keywords: | Optimization Hard turning Taguchi’s DoE Grey relational analysis Confidence interval |
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