Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Study on Multi Responses in Turning of EN19 Steel Using Fuzzy Taguchi Method


Affiliations
1 Department of Mechanical Engineering, Annamacharya Institute of Technology & Sciences, Rajampet, India
     

   Subscribe/Renew Journal


In this work Fuzzy-Taguchi method has been used to identify the optimal combination of influential factors in turning of EN 19 steel. Experiments are conducted according to Taguchi orthogonal array considering various machining parameters: depth of cut, feed rate, spindle speed. The experimental responses: Surface Roughness and Material Removal Rate were recorded for each experimental run.

Fuzzy logic is applied for the analysis of experimental responses data of Surface Roughness and Material Removal Rate. The Fuzzy grade is calculated from this data and Fuzzy grade is optimized using Taguchi method in order to get the optimal parameter values. The confirmation test were conducted for the optimum levels.


Keywords

Fuzzy-Taguchi, EN19, Orthogonal Array, Fuzzy Grade.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 232

PDF Views: 2




  • Study on Multi Responses in Turning of EN19 Steel Using Fuzzy Taguchi Method

Abstract Views: 232  |  PDF Views: 2

Authors

D. Vishnuvardhan Reddy
Department of Mechanical Engineering, Annamacharya Institute of Technology & Sciences, Rajampet, India
P. Salonica Sravani
Department of Mechanical Engineering, Annamacharya Institute of Technology & Sciences, Rajampet, India

Abstract


In this work Fuzzy-Taguchi method has been used to identify the optimal combination of influential factors in turning of EN 19 steel. Experiments are conducted according to Taguchi orthogonal array considering various machining parameters: depth of cut, feed rate, spindle speed. The experimental responses: Surface Roughness and Material Removal Rate were recorded for each experimental run.

Fuzzy logic is applied for the analysis of experimental responses data of Surface Roughness and Material Removal Rate. The Fuzzy grade is calculated from this data and Fuzzy grade is optimized using Taguchi method in order to get the optimal parameter values. The confirmation test were conducted for the optimum levels.


Keywords


Fuzzy-Taguchi, EN19, Orthogonal Array, Fuzzy Grade.