Multi-objective Optimization of Dressing Parameters of Internal Cylindrical Grinding for 9CrSi Aloy Steel Using Taguchi Method and Grey Relational Analysis

被引:0
作者
Le Xuan Hung [1 ]
Vu Ngoc Pi [1 ]
Tran Thi Hong [2 ]
Le Hong Ky [3 ]
Vu Thi Lien [1 ]
Luu Anh Tung [1 ]
Banh Tien Long [3 ]
机构
[1] Thai Nguyen Univ Technol, Thai Nguyen City, Vietnam
[2] Nguyen Tat Thanh Univ, Ho Chi Minh City, Vietnam
[3] Vinh Long Univ Technol Educ, Vinh Long, Vietnam
关键词
Internal cylindrical Grinding; 9CrSi alloy steel; Orthogonal array; Grey relational analysis; ANOVA; Optimization; PERFORMANCE;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study has been done to optimize the dressing parameters in internal cylindrical grinding process for 9CrSi tool steel to minimize surface roughness and maximize material removal rate (MRR) using Taguchi method and Grey Relational Analysis (GRA). This multi-objective optimization is obtained by optimizing five three-level and one six-level dressing parameters in eightteen experiments based on an orthogonal array L-18 (3(5)x1(6)). The results show that the optimal dressing parameters to obtain the minimal roughness average and maximal MRR are the coarse dressing depth of 0.02 mm, the coarse dressing times of 1 time, the fine dressing depth of 0.005 mm, the fine dressing times of 3 times, the non-feeding dressing of 5 times and the dressing feed rate of 1.4 m/min, respectively. The differences of the roughness average and MRR from the experiments and the predict model are small. Thus, the proposed method has been proven and it can be further applied in other studies. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2257 / 2264
页数:8
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