碳纤维复合材料汽车传动轴多尺度可靠性优化设计OA

To address the reliability design difficulties of carbon fiber reinforced polymer(CFRP)drive shafts in the context of automotive lightweighting,a multi-scale design optimization method was proposed.By parameterizing the microstructure modeling of CFRP and predicting its properties using homogenization method,the influence of micro-level design parameters on the composite material performance was thoroughly analyzed.Furthermore,a finite element model of the CFRP drive shaft was established,and the effective integration of micro-and macro-level design parameters was realized through automatic parameter passing,to explore the influence of design parameters on the drive shaft performance.Considering the constraints of the CFRP laminating process,this study also improved the multi-objective particle swarm optimization algorithm(MOPSO)to effectively solve the multi-objective reliability optimization problem.The results show that this optimization method can reduce the mass of CFRP drive shafts by more than 30%compared to traditional metal drive shafts,while meeting the 95%reliability requirement.