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


Affiliations
1 Master of Technology - Industrial Engineering, Dr. M.G.R. Educational and Research Institute University, Chennai – 600095, Tamil Nadu, India
 

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

Abstract Views: 183  |  PDF Views: 0

Authors

B. Ram Kumar
Master of Technology - Industrial Engineering, Dr. M.G.R. Educational and Research Institute University, Chennai – 600095, Tamil Nadu, India

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.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i48%2F138475