两片变截面变刚度钢板弹簧遗传优化设计

针对汽车钢板弹簧轻量化问题，以某款微型车钢板弹簧为研究对象，通过方程推演拟合出两片变截面板簧的接触过程，并在此基础上建立两片渐变刚度钢板弹簧的优化数学模型.基于遗传算法，运用Matlab开发了优化设计的仿真程序，通过运用Matlab开发的应力验算仿真程序和ANSYS有限元分析对优化模型进行验证，最后进行样件试验.结果表明：在保证性能的要求下，节省板簧材料31.6%.

Optimal Design of Taper Leaf Spring with Variable Stiffness Based on Genetic Algorithms

For the purpose of achieving the lightweight of automobiles, the contact friction process between the taper leaves was deduced with equations such as the deformation equations and stress equations, which were based on the taper leaf spring of the mini-car. Based on the genetic algorithms, a mathematical optimal model of the two taper leaves spring with variable stiffness was built to simulate in the software of MATLAB. A FEM model of the leaf spring was also built to check the mathematical model by using the ANSYS. In conclusion, it has been found that the grams of the material can be reduced by 31.6% without affecting the performances of the requirements, by comparing the difference between the optimal test results and non-optimal test results.