Multi–response Optimization of Hot Machining  Process Using Grey Relational Analysis (GRA) Method

Mrs Swetha Patil; Nitin k. Kamble; S. S. Sarnobat

Volume : III, Issue : X, October - 2013

Multi–response Optimization of Hot Machining Process Using Grey Relational Analysis (GRA) Method

Mrs Swetha Patil, Nitin K. Kamble, S. S. Sarnobat

Abstract :

In this work, examination of surface integrity due to hot machining (specifically turning) of hard–to–machine material ( EN36) is the major concern. The focus of the research work is to optimize the response (i.e. surface roughness – minimum, material removal rate – maximum and Tool Wear Rate – Minimum) of hot machining (turning) process by controlling the process parameters; e.g. [1]. Temperature –2000C, 3000C and 4000C [2].Cutting Speed –0.293 m/sec, 0.418 m/sec and 0.523 m/sec [3]. Feed – 0.05 m/sec, 0.1 m/sec and 0.16 m/sec [4].Depth of Cut – 0.5 mm, 1mm and 1.5 mm in comparison with conventional turning. The objective of the study is to optimize the responses simultaneously, so that a compromise between different process outputs can be achieved. A new technique, Grey Relational Analysis (GRA) is used here for multi–response optimization. This is one of the good methods of multi–criterion optimization, which gives the combination of factors and their respective levels, which yields to best results. Finally a mathematical model is built using multiple linear regression analysis to establish a relation between response and process parameters.