A Multi-Order Sensitivity Calculation Method for Product Assembly Accuracy optimization

Author(s):  
Dongping Zhao ◽  
Gangfeng Wang ◽  
Yupeng Xin ◽  
Richard Evans ◽  
Ying Zhou ◽  
...  
Mechanika ◽  
2021 ◽  
Vol 27 (5) ◽  
pp. 400-407
Author(s):  
Pei Fengque ◽  
Tong Yifei ◽  
Yuan Minghai ◽  
Song Haojie

With the development of intelligent manufacturing, the key strategic of complex equipment is becoming more and more obvious. How to realize the assembly of complex products has become the focus of intelligent manufacturing. This paper puts forward the improved Taguchi method to dimension chains measures, by using different quality loss function to different dimension chains, the cores are the Nominal-is-best, non-core is measured with the improved Smaller-is-better to improve convergence perusal and increase matching rate; General adopt Smaller-is-better to enhance assembly accuracy, reduce interference fit and assembly cost. Then the dimension chains quantitative model of complicated product assembly by using the signal-to-noise ratio and different weights is built up. The model contains modeling assumption, the objective function and the matching model. And this model is regard as the fitness function of genetic algorithm. Finally, the feasibility and efficiency of the scheme are verified by the case study.


2013 ◽  
Vol 457-458 ◽  
pp. 1058-1063
Author(s):  
Jing Zhao Yang ◽  
Guo Xi Li ◽  
Bao Zhong Wu

The present studies of assembly accuracy predicting for complex products are mainly oriented to the early design stage. The final product assembly accuracy is computed using a variation propagation model, which is constructed based on design tolerance model and assembly model. Generally, the solving results are quite different with the actual values. In this paper, the axis angular variation calculation of the spacecraft cabin at the assembly phase was studied. And a novel analysis method for assembly variation was proposed with the consideration of measurement uncertainty of the key characteristics. An example was studied to illustrate and demonstrate the feasibility of the proposed method.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md Helal Miah ◽  
Jianhua Zhang ◽  
Dharmahinder Singh Chand

Purpose This paper aims to illustrate the tolerance optimization method based on the assembly accuracy constrain, precession constrain and the cost of production of the assembly product. Design/methodology/approach A tolerance optimization method is an excellent way to perform product assembly performance. The tolerance optimization method is adapted to the process analysis of the hatch and skin of an aircraft. In this paper, the tolerance optimization techniques are applied to the tolerance allocation for step difference analysis (example: step difference between aircraft cabin door and fuselage outer skin). First, a mathematical model is described to understand the relationship between manufacturing cost and tolerance cost. Second, the penalty function method is applied to form a new equation for tolerance optimization. Finally, MATLAB software is used to calculate 170 loops iteration to understand the efficiency of the new equation for tolerance optimization. Findings The tolerance optimization method is based on the assembly accuracy constrain, machinery constrain and the cost of production of the assembly product. The main finding of this paper is the lowest assembly and lowest production costs that met the product tolerance specification. Research limitations/implications This paper illustrated an efficient method of tolerance allocation for products assembly. After 170 loops iterations, it founds that the results very close to the original required tolerance. But it can easily say that the different number of loops iterations may have a different result. But optimization result must be approximate to the original tolerance requirements. Practical implications It is evident from Table 4 that the tolerance of the closed loop is 1.3999 after the tolerance distribution is completed, which is less than and very close to the original tolerance of 1.40; the machining precision constraint of the outer skin of the cabin door and the fuselage is satisfied, and the assembly precision constraint of the closed loop is satisfied. Originality/value The research may support further research studies to minimize cost tolerance allocation using tolerance cost optimization techniques, which must meet the given constrain accuracy for assembly products.


CICTP 2020 ◽  
2020 ◽  
Author(s):  
Guoshuai Zang ◽  
Haizhu Lu ◽  
Guanglai Jin ◽  
Zhixiang Zhang

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