A comparison of the different multiple response optimization techniques for turning operation of AISI O1 tool steel

Journal of Engineering Research

Jatinder Kumar¹  Ravinder Kataria¹ 

[1] NATIONAL INSTITUTE OF TECHNOLOGYKURUKSHETRA (HARYANA)INDIA

关键词: Material removal rate;    multi-response optimization;    surface roughness;    Taguchi method;    weighted signal-to-noise ratio.;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: Kuwait University * Academic Publication Council

【 摘 要 】

In this article, the effect of several process parameters such as tool nose radius, speed,feed and depth of cut on the machining performance of turning operation has beenstudied using AISI O1 tool steel as a work material. The machining characteristicsthat are being studied are material removal rate (MRR) and surface roughness (SR)of machined surface. Taguchi method is utilized for single response optimization. Formulti-response optimization, weighted signal-to-noise ratio (WSN), grey relationalanalysis (GRA), utility concept and technique for order preference by similarity toideal solution (TOPSIS) method have been utilized and their performance is evaluated.WSN method has been found to produce best results for multi-response optimizationfor this study.

【 授权许可】

Unknown