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Auto body taillight assembly modeling and fitting variation induced by tighten-up sequence analyzing
参考中译:紧固序列分析引起的车身尾灯装配建模及装配变化
     
  
  
刊名:
Assembly Automation
作者:
Hua Wang
(School of Mechanical Engineering, Shanghai Jiao Tong University)
Xiang Gao
(School of Mechanical Engineering, Shanghai Jiao Tong University)
刊号:
737C0062
出版年:
2013
年卷期:
2013, vol.33, no.2
页码:
149-156
总页数:
8
分类号:
TP20
关键词:
Taillight fitting
;
Tighten-up sequence
;
Fitting quality
;
GAGE R&R
;
Automotive industry
;
Assembly
参考中译:
尾灯配件;紧固顺序;配件质量;量具R&R;汽车工业;装配
语种:
eng
文摘:
Purpose - This paper seeks to propose an auto body taillight assembly model using finite element analysis. Fitting variation induced by tighten-up sequence is analyzed by the model to control the dimensional quality of auto body. Design/methodology/approach - The taillight assembly model is constructed with finite elements to depict the assembly process of the taillight. The validity of the simulation model is proved by the consistence between the pressures obtained from the finite elements simulation results and the pressure sensitive paper. The fitting variation induced by tighten-up sequences is analyzed with the proposed model. GAGE R&R method is employed to check the significant difference among four different sequences and a rational conclusion is obtained. Findings - The proposed finite element model could be used for taillight fitting quality control. The results have shown that as far as the car taillight assembly structure discussed in the paper is concerned, the taillight final fitting quality has nothing to do with the tighten-up sequence of connecting bolts. Originality/value - The taillight assembly model is first constructed with finite elements to depict the assembly process of the taillight. For the first time, GAGE R&R method is employed to check the significant difference among the fitting qualities obtained by different sequences. The results of this research will enhance the understanding of the optimal fitting of car taillight, and help to systematically improve the productivity and the fitting quality in the automotive industry.
相关文献:
Fitting optimization based on weighted Gaussian imaging method for auto body taillight assembly
Autobody taillight assembly modeling and fitting variation sensitivity analysis
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