| The traditional machine head assembly training has the problems of high cost and limited training venues,which cannot meet the needs of large numbers of trainees.Therefore,this article proposes to design a machine head assembly simulation training system to help solve the problem of machine head assembly training limited by the venue and training facilities.The problem is not easy to teach.The realization of the system needs to solve two difficult problems: nose assembly sequence planning and three-dimensional model simplification.First,the pros and cons of the machine head assembly sequence directly determine the assembleability and assembly quality of the machine head components.The assembly sequence planning solution is a combination optimization problem.In this thesis,the enhanced firework algorithm is applied to the assembly sequence planning solution,and the improvement The calculation method of the explosion radius of the algorithm improves the search speed and search accuracy of the algorithm,and increases the superiority of the assembly sequence solution,thereby ensuring the accuracy of the system assembly demonstration.Secondly,during the development of the nose training system,because the amount of data in the nose assembly model is large,the working efficiency of the system development is seriously reduced.The existing simplified methods cannot fully maintain the model when the model is greatly simplified By improving the QEM(Quadric Error Matrix)algorithm,the simplified model can better maintain the detailed features of the model.This thesis is based on the major scientific and technological special project in Sichuan Province-"Modular Delivery of Large Aviation Components"(project number2018GZDZX0019),with civil aircraft nose as the object to improve the assembly sequence planning and model simplification method,while designing and implementing Head virtual assembly simulation training system.The details are as follows:First,based on the assembly unit divided by the nose,this thesis uses the enhanced firework algorithm to solve the assembly sequence planning method.By introducing the dynamic firework algorithm explosion radius calculation method and the simulated annealing factor,the explosion radius is adjusted adaptively with the number of iterations,which speeds up the algorithm At the same time,the algorithm parameters are adjusted according to the characteristics of the assembly sequence planning problem.Finally,the feasibility and superiority of the improved enhanced firework algorithm in assembly sequence planning are verified.Secondly,by analyzing several factors that have a greater impact on the details of the model: the approximate curvature of the vertices,the edge folding length,and the spatial contour of the model,the concept of the model detailed influence factor is introduced,and the model detail influence factor is combined with the QEM simplified method The cost of edge folding is improved,so that flat areas in the model are preferentially simplified,effectively maintaining the detailed characteristics of the model,and solving the problem of computer jamming caused by excessive model data in the production of the simulation training system.Finally,based on the results of assembly sequence planning and model simplification,a virtual assembly simulation training system is designed and implemented.The system has functions such as assembly virtual environment display,simulation assembly demonstration,system roaming(station conversion),and digital process description display. |