Combining Taguchi method and DEAR method for multi-objective optimization of grinding process

E3S Web of Conferences

Linh Nguyen Hong¹  Tuan Nguyen Van.²  Trung Do Duc²  Cuong Dang Quoc³  Hung Le Xuan⁴  Quang Nguyen Huu⁵  Tuan Nguyen Anh⁵ 

[1] Electric Power University;Ha Noi University of Industry;Nguyen Tat Thanh University, Ho Chi Minh City;Thai Nguyen University of Technology;University of Economics - Technology for Industries;

关键词: cylindrical grinding;    x12m steel;    surface roughness;    mrr;    multi-objective optimization;    taguchi;    dear;   

DOI  :  10.1051/e3sconf/202130901220

来源: DOAJ

【 摘 要 】

In this paper, a study on multi-objective optimization of the cylindrical grinding process is presented. The experimental material used in this study is X12M steel. The two output parameters of the grinding process considered in this study are surface roughness and material removal rate (MRR). The cutting mode parameters including cutting speed, feed rate, and cutting depth have been selected as input parameters of the experimental process. Experimental matrix by Taguchi method has been used to design a matrix with 27 experiments. Analysis of experimental results by Pareto chart has determined the effect of input parameters on output parameters. The Data Envelopment Analysis-based Ranking (DEAR) method has been applied to determine the values of input parameters to simultaneously ensure the two criteria of minimum surface roughness and maximum MRR. Finally, the development direction for further studies has also been recommended in this study.

【 授权许可】

Unknown