Journal of the Association of Engineers, India

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Statistical Analysis to Study the Parametric Influence on Wire Wear Ratio in Wire Electrical Discharge Machining


Affiliations
1 Department of Mechanical Engineering, BESU, Shivpur, Howrah, India
2 Department of Mechanical Engineering, B. P. Poddar Institute of Management and Technology, Kolkata 700052, India
3 Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, India
     

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Based on multiple linear regression method, linear mathematical model has been developed to correlate the wire wear ratio and selected process control parameters in the wire electrical discharge machining process. The direct and interactive effects of current, pulse on time and wire feed rate on wire wear ratio have been evaluated quantitatively by using analysis of variance technique and results thus obtained have been represented graphically.

Keywords

Multiple Linear Regression, Analysis of Variance.
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  • Statistical Analysis to Study the Parametric Influence on Wire Wear Ratio in Wire Electrical Discharge Machining

Abstract Views: 208  |  PDF Views: 0

Authors

Arnab Bose
Department of Mechanical Engineering, BESU, Shivpur, Howrah, India
Saurav Datta
Department of Mechanical Engineering, B. P. Poddar Institute of Management and Technology, Kolkata 700052, India
Asish Bandyopadhuay
Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, India
Dulal Chandra Roy
Department of Mechanical Engineering, BESU, Shivpur, Howrah, India

Abstract


Based on multiple linear regression method, linear mathematical model has been developed to correlate the wire wear ratio and selected process control parameters in the wire electrical discharge machining process. The direct and interactive effects of current, pulse on time and wire feed rate on wire wear ratio have been evaluated quantitatively by using analysis of variance technique and results thus obtained have been represented graphically.

Keywords


Multiple Linear Regression, Analysis of Variance.