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Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 130
Paper Published : 2388
No. of Authors : 6802
  Journal Paper


Paper Title :
Optimization Of Process Parameters For Surface Roughness In Milling Of En-31 Steel Material Using Taguchi Robust Design Methodology

Author :G.Guruvaiah Naidu, A.Venkata Vishnu, G.Janardhana Raju

Article Citation :G.Guruvaiah Naidu ,A.Venkata Vishnu ,G.Janardhana Raju , (2014 ) " Optimization Of Process Parameters For Surface Roughness In Milling Of En-31 Steel Material Using Taguchi Robust Design Methodology " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 15-21, Volume-2,Issue-9

Abstract : Every day scientists are developing new materials and for each new material, we need economical and efficient machining and it is also predicted that, Taguchi method is a good method for optimization of various machining parameters as it reduces the number of experiments. In the present work, by using taguchi approach the End milling of EN-31 steel alloy is carried out in order to optimize the milling process parameters and to minimize the surface roughness. This paper deals with optimization of selected milling process parameters, i.e. Speed, Feed rate, Depth of cut and coolant flow. Taguchi orthogonal array is designed with three levels of milling parameters and different experiments are done using L9 (34 ) orthogonal array, containing four columns which represents four factors and nine rows which represents nine experiments to be conducted and value of each parameter was obtained. The nine experiments are performed and surface roughness is calculated. The Signal to Noise Ratio (S/N) ratio of predicted value and verification test values are valid when compared with the optimum values. It is found that S/N ratio value of verification test is within the limits of the predicted value and the objective of the work is full filled.

Type : Research paper

Published : Volume-2,Issue-9


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