چكيده به لاتين
Today, decrease in the weight of automobiles has been raised as a solution to optimize fuel consumption and reduce pollutants. In this article, optimization of the dimensions of cross section of longitudinal and cross beams of ladder chassis in order to decrease weight is addressed. In order to optimize, firstly, the parametric model of chassis is created by Python and Abaqus software. Also, in order to recognize the chassis behaviour and create the mathematical model of each behaviour under different uploads of the experiment design, RSM and ANN method are used. After creating the mathematical models, cross section of longitudinal and cross beams of the chassis are being optimized through genetic algorithm. It should be noted that in this optimization, the objective function includes the weight of chassis, design parameters include cross section thicknesses, height of beam and width of flange, and constraints of optimization of chassis behaviour are under different uploading. Upon completion of the optimization process, the chassis with optimized cross section is analysed by Abaqus software and its operation is reviewed. The obtained results indicate that the optimized chassis with 25% weight loss has a desirable performance.
