Research On Material Precise Distribution Technology In Aircraft Final Assembly Line

Aviation equipment belongs to one of the ten key areas of “Made in China 2025”,and its intelligent production,especially aircraft intelligent manufacturing,plays a vital role in the.Material distribution is a key link in aircraft manufacturing.Accurate material distribution and reduced distribution costs are of great significance for aircraft assembly.In view of the problems of material accumulation,material shortage and untimely material distribution in the aircraft assembly line,it is necessary not only to transform and upgrade the aircraft assembly line,but also to use automatic handling equipment to distribute materials,and to study the related technologies of material distribution.This paper conducts in-depth investigation and research based on this demand,and the main contents are as follows:(1)The aircraft assembly line is taken as the research object to describe the material distribution problem of the production line,and the relevant mathematical variables and the material precise distribution model of the assembly line are constructed.In this model,considering the constraints of the vechile capacity and the path conflict possibly casuing by multi-vechiles,the minimum material delivery times,the minimum vechile operating distance,and the minimum time penalty cost are the optimization objectives.(2)Then this paper combines with the specific environment of aircraft assembly line,the topology model is constructed.After analyzing the shortest path solution algorithms,an improved path planning alogorithm based on A* algorithm is proposed,and the effectiveness of the method is proved by experiment.(3)Considering the path conflict problem that may be caused by the multi-vechiles collaboratively completing the material distribution and analyzing the different path conflict types,a compound adjustment strategy based on path time windows is proposed,whose purpose is to complete the multi-vehicle path planning and adjustment to avoid path conflicts,and the effectiveness of this method is proved by experiments.(4)An improved genetic algorithm is adopted,which uses assembly sequence material combination to encode,and applies shortest path planning method to decode.The method utilizes the multi-vechiles compound adjustment strategy to eliminate path conflicts and ensure the legality of decoding.In addition,adaptive strategies are used to control genetic crossover rate and mutation rate to avoid destroying elite individuals and simulated annealing operators are used to control population update to improve the convergence speed and avoid the algorithm to fall into local optimum.The experiment proves that the algorithm has better optimization ability,so as to achieve material precise distribution based on minimum cost.