Fixture Locating Scheme Designg Based On Improved Particle Swarm Optimization For Sheet Metal Components

Sheet metal parts are widely used in automobile manufacturing, aircraft manufacturing and all kinds of household electrical appliances manufacturing industry. Welding assembly is a very important process in the manufacture of sheet metal parts. The performance of welding fixture fixing and clamping parts not only has a great impact on productivity, but also seriously influences the welding assembly quality after the completion of the whole body. Therefore, in the premise of not affecting the quality of the assembly, by adjusting the positioning point layout to reduce the number of positioning points is a very important part of the fixture positioning strategy optimization. The main work is as following:(1) The optimization model of fixture locating strategy for sheet metal partsThe optimization model is established for the particle swarm optimization algorithm. The layout optimization strategy of the target function is proposed, which takes the deformation quantity of the key points of the part and the positioning deviation of the fixture. On the basis of the optimization of fixture locating strategy based on measuring the deformation quantity of the target function, the optimization model based on the objective function of fixture assembly tolerance is established. Based on influence coefficient method, the establishment method of the optimization model based on the deviation of the measuring point is analyzed.(2) The improved particle swarm optimization algorithm is proposed to optimize the positioning strategyOn the basis of the traditional particle swarm optimization, an improved particle swarm optimization algorithm is proposed. The algorithm is mainly to improve the value of the inertia weight. And the effectiveness of the improved particle swarm optimization algorithm is verified by Rosenbrock and DeJong function. Then, the optimization of the positioning strategy of the thin plate parts assembly fixture is optimized by the improved particle swarm optimization algorithm. In order to further improve the efficiency of optimization, the application of MATLAB secondary development for ABAQUS is used. Finally, the effectiveness of the proposed algorithm is verified by the application of the fixture locating strategy of the thin plate.(3) Application of front fender case fixture optimization designThe application of this optimization model and the positioning strategy optimization of vehicle front fender are realized. Respectively analyzes the point deformation and assembly deviation to the key parts of the wing under different positioning strategies. The results are compared with that of the traditional particle swarm optimization algorithm. The results show the effectiveness of the proposed method in this paper.