TY - JOUR
T1 - 面向装配精度的航空发动机转子零件选配优化
AU - Du, Hailei
AU - Sun, Huibin
AU - Huang, Jian
AU - Song, Shulin
AU - Cui, Baofeng
AU - Ma, Tao
AU - Zhao, Jian
AU - Song, Yingjun
AU - Chang, Zhiyong
N1 - Publisher Copyright:
© 2021, Editorial Department of CIMS. All right reserved.
PY - 2021/5
Y1 - 2021/5
N2 - Aiming at the selection problem of aero-engine rotor parts, an approach to rotor part optimization for the stop-bolt connection structure was proposed by considering assembly requirements and individual characteristics of physical parts. Based on the measured size, shape and position error data of physical parts, a single rotor part error model was built for every part. According to the assembly relationship among parts, an assembly error propagation model of multi-stage rotors was established. By considering coaxiality and perpendicularity, a part matching optimization model was proposed. The fast elitist Non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ) algorithm was used to optimize the part combination and circumferential assembly phase of each part. The exam showed that the coaxiality and perpendicularity errors were dramatically decreased compared to random part selection. By guiding part matching and assembly operation, the optimized result could improve success rate of single assembly try and consistency of assembly quality, and reduce trail-and-error cost.
AB - Aiming at the selection problem of aero-engine rotor parts, an approach to rotor part optimization for the stop-bolt connection structure was proposed by considering assembly requirements and individual characteristics of physical parts. Based on the measured size, shape and position error data of physical parts, a single rotor part error model was built for every part. According to the assembly relationship among parts, an assembly error propagation model of multi-stage rotors was established. By considering coaxiality and perpendicularity, a part matching optimization model was proposed. The fast elitist Non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ) algorithm was used to optimize the part combination and circumferential assembly phase of each part. The exam showed that the coaxiality and perpendicularity errors were dramatically decreased compared to random part selection. By guiding part matching and assembly operation, the optimized result could improve success rate of single assembly try and consistency of assembly quality, and reduce trail-and-error cost.
KW - Assembly error propagation
KW - Coaxiality and perpendicularity
KW - Part matching optimization
KW - Size, shape and position errors
UR - http://www.scopus.com/inward/record.url?scp=85107117119&partnerID=8YFLogxK
U2 - 10.13196/j.cims.2021.05.005
DO - 10.13196/j.cims.2021.05.005
M3 - 文章
AN - SCOPUS:85107117119
SN - 1006-5911
VL - 27
SP - 1292
EP - 1299
JO - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
JF - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
IS - 5
ER -