Title of article :
Process parameter optimization based on principal components analysis during machining of hardened steel
Author/Authors :
Chandgude، Suryakant B. نويسنده K. K. Wagh Institute of Engineering Education and Research, Nashik-422003, Maharashtra, India , , Pawar، Padmakar J. نويسنده K. K. Wagh Institute of Engineering Education and Research, Nashik-422003, Maharashtra, India , , Sadaiah، Mudigonda نويسنده Dr. Babasaheb Ambedkar Technological University, Vidyavihar, Lonere- 402103, Maharashtra, India ,
Issue Information :
دوفصلنامه با شماره پیاپی 22 سال 2015
Pages :
12
From page :
379
To page :
390
Abstract :
The optimum selection of process parameters has played an important role for improving the surface finish, minimizing tool wear, increasing material removal rate and reducing machining time of any machining process. In this paper, optimum parameters while machining AISI D2 hardened steel using solid carbide TiAlN coated end mill has been investigated. For optimization of process parameters along with multiple quality characteristics, principal components analysis method has been adopted in this work. The confirmation experiments have revealed that to improve performance of cutting; principal components analysis method would be a useful tool.
Journal title :
International Journal of Industrial Engineering Computations
Serial Year :
2015
Journal title :
International Journal of Industrial Engineering Computations
Record number :
2121214
Link To Document :
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