Multi objective optimization of process parameters for hard turning of AISI 52100 steel using Hybrid GRA-PCA

In this study, multi-objective optimization for a hard turning of AISI 52100 steel has been presented to provide optimum surface quality, Machining force and work piece surface temperature. Cutting speed, feed, depth of cut and Nose radius are considered as input parameters. Experiments are conducte...

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Bibliographic Details
Published in:Procedia computer science 2018, Vol.133, p.703-710
Main Authors: Umamaheswarrao, P., Raju, D. Ranga, Suman, KNS, Sankar, B. Ravi
Format: Article
Language:English
Subjects:
AISI 52100 steel
Force
GRA
hard turning
PCA
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Summary:In this study, multi-objective optimization for a hard turning of AISI 52100 steel has been presented to provide optimum surface quality, Machining force and work piece surface temperature. Cutting speed, feed, depth of cut and Nose radius are considered as input parameters. Experiments are conducted as per Taguchi L9 orthogonal array. The Parametric investigation is carried out for identifying the effect of input parameters on the response using MINITAB14 software package. Further, multi objective optimization is performed with Grey Relational Analysis (GRA) coupled with Principle Component Analysis (PCA). Results demonstrated that nose radius is the most significant factor affecting the response followed by feed, depth of cut and speed. The optimum cutting parameters obtained are cutting speed 900 rpm, feed rate 0.04 mm/rev, depth of cut 0.6 mm and Nose radius 0.8 mm.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2018.07.129