Optimisation of Quality and Prediction of Machining Parameter for Surface Roughness in CNC Turning on EN8

B  Ram Kumar

doi:10.17485/ijst/2016/v9i48/108431

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Optimisation of Quality and Prediction of Machining Parameter for Surface Roughness in CNC Turning on EN8

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i48/108431

Year: 2016, Volume: 9, Issue: 48, Pages: 1-7

Original Article

Optimisation of Quality and Prediction of Machining Parameter for Surface Roughness in CNC Turning on EN8

B. Ram Kumar^*

Master of Technology - Industrial Engineering, Dr. M.G.R. Educational and Research Institute University, Chennai – 600095, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objective: Effect of machining parameter (Speed, Feed, Depth of cut) on output machine responses (Material Removal Rate (MRR), Machining time, Tool wear and Surface roughness) is studied using Taguchi method. Methods/Analysis: Experiment was conducted on work piece material namely EN8 Steel. For cutting speed, feed rate, Depth Of Cut (DOC). Orthogonal array L9 was created using MINITAB-16. For different combination, the respective surface roughness average was obtained using surface roughness tester and Taguchi analysis to understand the relation between the machining parameters and output responses. Findings: Feed rate is the important factor in obtaining the optimum surface finish of EN8 than other parameters during turning and also scarps can be reduced gradually. Novelty/Improvement: With the help of Taguchi method, Noise factor and control factor are identified which are highly useful in screening the critical parameters for optimum surface finish.
Keywords: Machining parameter, Optimisation, Surface Roughness, Taguchi Method, Turning