Reliability Optimization Of Wing Sheet Assembly Based On Parameter Adaptive Genetic Algorithm

Aircraft products have high assembly accuracy requirements.The manufacturing and assembly errors of aircraft are important factors that affect the assembly accuracy.Sheet metal assembly is a typical feature in the field of aircraft manufacturing.The reliability of assembly process system is an important factor to ensure assembly quality and production efficiency.At present,the research on the assembly reliability of the thin plate of the wing only considers the unilateral influence of the assembly deviation or the assembly sequence optimization.This paper takes the assembly process of the thin plate of the wing as the research object,establishes the assembly reliability model of the thin plate assembly process system,considers the influence of the assembly deviation and the assembly sequence comprehensively,and puts forward the optimization design method of the process parameters based on the genetic algorithm,which is the optimization design method of the wing.A new idea is provided for reliability evaluation and process parameter optimization of assembly process system.The main contents are as follows:(1)The basic theory of assembly reliability is described,and the main deviation sources of assembly process are introduced.That is,positioning deviation,fixture deviation and assembly sequence.And the principle of these main sources of deviation is described.(2)Analyzing the reliability of assembly process system.This paper expounds the mechanism of deviation in the manufacturing process of assembly process system,analyzes the influence of dimension deviation,positioning deviation and fixture deviation on the deviation of part assembly and the relation of deviation accumulation,and establishes the state space model of part assembly deviation accumulation.(3)In this paper,the principle of genetic algorithm is summarized,and aiming at the situation that the evolution of traditional genetic algorithm is slow and has fallen into local iteration,the improvement is carried out to ensure that under the condition of accelerating the evolution speed,the excellent individuals can be retained and there is no local optimal solution.(4)According to the characteristics of assembly sequence planning optimization,the assembly feasibility,stability and interference effect of the whole assembly system are analyzed.According to the influence of assembly deviation and assembly sequence on the assembly process system,the genetic algorithm is used to optimize the assembly process,and the optimal solution with the smallest deviation is obtained to reduce the influence of the assembly deviation of the wing,so as to improve the reliability of the assembly system and provide a solution for the optimization design which is about the assembly process in engineering practice.