Study On Optimization Of The Truck Frame Based On The Imperialist Competitive Algorithm

Due to the gradually increased demand in the car market at home and abroad, the carmarket competition is increasingly fierce. In order to win in the sales market, each bigautomobile enterprise is trying to reduce the manufacturing costs, improve the vehicleperformance, prolong the service life of the car and shorten the research and developmentcycle. Automotive frame, as the main parts of the vehicle, bears the fuel engine, the drivingcabin, the fuel tanks, the containers and other parts. Therefore, the design of the automotiveframe for vehicle research and development is of great significance.Traditional frame optimization methods are often unable to resolve the complex stressstatus of frame work, so the past experience design has been gradually replaced by scientificdesign. Under the condition of the requirements of the design strength and stiffness, the largecommercial software and advanced heuristic algorithm was used to optimize frame structurefor the lightweight research, with forms of size optimization, shape optimization andtopology optimization.This dissertation puts forwardthe lightweight model of the automotive frame based onthe imperialist competitive algorithm. Taking a light-duty truck frame as an example, theimperialist competitive algorithm is used to optimize the light-duty truck frame, with the sizeparameters as the design variables.(1) Introduce the basic theoretical knowledge of Imperialist Competitive Algorithm,including its two improved algorithm, and the numerical example shows the feasibility of thealgorithm and improved algorithm and accuracy.(2) Taking a light-duty truck frame geometry model as the preconditon, the static finiteelement model of the truck frame was established, with boundary conditions and loads added.The static bending and twisting working conditions were repectively analized using the finite element analysis software ANSYS. The most dangerous condition of the frame was found tobe the torsional condition.(3) Taking the frame mass as the objective function, and taking the maximumdisplacement and maximum stress of torsion condition as constraint conditions, theoptimization model was established. The calculating results of the ANSYS zero-orderalgorithm, Imperialist Competitive Algorithm and Chaos Imperialist Competitive Algorithmwere compared. Chaos Imperialist Competitive Algorithm could converge to the globaloptimal solution quickly, showing good global convergent ability and better applicability.