TY - JOUR
T1 - Parameters optimization in belt polishing process of blade based on grey relational analysis
AU - Zhang, Junfeng
AU - Shi, Yaoyao
AU - Lin, Xiaojun
AU - Duan, Jihao
AU - Zhang, Hongji
AU - Li, Zhishan
N1 - Publisher Copyright:
© 2017, Editorial Department of CIMS. All right reserved.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - In polishing process of blade and blisk, the minimum of Surface Roughness (SR) and the maximization of Material Removal Rate (MRR) were determined by different process parameters, which could not obtain the optimal result under the condition of empirical parameters. To solve this multi-objective optimization problem, 4-factor and 3-level orthogonal polishing experiments for titanium specimens were designed. Based on the grey relational analysis, the multi-objective optimization problem was converted to single objective problem, and the influence weight of SR and MRR on Grey Relational Analysis (GRA) were calculated. By means of regression analysis of the experimental data, the second order prediction model of GRA was developed. Accordingly, the variation of SR, MRR and GRA resulted from the various polishing parameters such as abrasive size, belt speed, workpiece feed rate and polishing depth were researched. Furtherly, the optimization scheme of polishing parameters was put forward. The polishing process parameters were optimized with response surface methodology, and the polishing experiments of blade were carried out. The experimental results showed that the MRR could be improved significantly under the condition of meeting the SR request.
AB - In polishing process of blade and blisk, the minimum of Surface Roughness (SR) and the maximization of Material Removal Rate (MRR) were determined by different process parameters, which could not obtain the optimal result under the condition of empirical parameters. To solve this multi-objective optimization problem, 4-factor and 3-level orthogonal polishing experiments for titanium specimens were designed. Based on the grey relational analysis, the multi-objective optimization problem was converted to single objective problem, and the influence weight of SR and MRR on Grey Relational Analysis (GRA) were calculated. By means of regression analysis of the experimental data, the second order prediction model of GRA was developed. Accordingly, the variation of SR, MRR and GRA resulted from the various polishing parameters such as abrasive size, belt speed, workpiece feed rate and polishing depth were researched. Furtherly, the optimization scheme of polishing parameters was put forward. The polishing process parameters were optimized with response surface methodology, and the polishing experiments of blade were carried out. The experimental results showed that the MRR could be improved significantly under the condition of meeting the SR request.
KW - Abrasive belt polishing
KW - Aero-engine
KW - Blade
KW - Grey relational analysis
KW - Orthogonal test
KW - Parameter optimization
UR - http://www.scopus.com/inward/record.url?scp=85021836689&partnerID=8YFLogxK
U2 - 10.13196/j.cims.2017.04.015
DO - 10.13196/j.cims.2017.04.015
M3 - 文章
AN - SCOPUS:85021836689
SN - 1006-5911
VL - 23
SP - 806
EP - 814
JO - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
JF - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
IS - 4
ER -