International Journal of Engineering Research

Open Access Open Access  Restricted Access Subscription Access

Optimization of Surface Roughness and MRR in Turning Operation Using Extended Taguchi Method


Affiliations
1 Department of Mechanical Engineering, JNTUCEP, Pulivendula, Kadapa (Dt), A.P., India
 

This study investigated the multi-optimization of the turning process on AISI1045 steel material with CNMG cutting tool for an optimal parametric combination to yield the minimum surfaces roughness with the maximum MRR using a combination of a Grey relational analysis (GRA) and the Taguchi method. In view of the fact, that traditional Taguchi method can't solve a multi-objective optimization problem: To overcome this limitations Grey relation theory has been coupled with Taguchi method. Nine experimental runs based on an Orthogonal array of the Taguchi method were performed to drive objective functions to be optimized within the experimental domain the signification of the factors on the overall quality characteristics of the cutting process was also evaluated quantitatively using the Analysis of Variance ANOVA method. Optimal results verified through additional experiments.

Keywords

Turning Parameters, Grey Relational Theory, Taguchi Method, ANOVA, Material Removal Rate.
User
Notifications
Font Size

Abstract Views: 133

PDF Views: 0




  • Optimization of Surface Roughness and MRR in Turning Operation Using Extended Taguchi Method

Abstract Views: 133  |  PDF Views: 0

Authors

K. Pavan Kumar Reddy
Department of Mechanical Engineering, JNTUCEP, Pulivendula, Kadapa (Dt), A.P., India
Y. Rameswara Reddy
Department of Mechanical Engineering, JNTUCEP, Pulivendula, Kadapa (Dt), A.P., India
R. Vishnuvardhan Reddy
Department of Mechanical Engineering, JNTUCEP, Pulivendula, Kadapa (Dt), A.P., India

Abstract


This study investigated the multi-optimization of the turning process on AISI1045 steel material with CNMG cutting tool for an optimal parametric combination to yield the minimum surfaces roughness with the maximum MRR using a combination of a Grey relational analysis (GRA) and the Taguchi method. In view of the fact, that traditional Taguchi method can't solve a multi-objective optimization problem: To overcome this limitations Grey relation theory has been coupled with Taguchi method. Nine experimental runs based on an Orthogonal array of the Taguchi method were performed to drive objective functions to be optimized within the experimental domain the signification of the factors on the overall quality characteristics of the cutting process was also evaluated quantitatively using the Analysis of Variance ANOVA method. Optimal results verified through additional experiments.

Keywords


Turning Parameters, Grey Relational Theory, Taguchi Method, ANOVA, Material Removal Rate.