车辆复杂工况下减振器失效的优化及试验

Optimization and Experiment of Shock Absorber in Complex Operation Conditions

针对车辆在复杂工况下减振器断裂失效问题,利用ARIZ算法对系统进行了优化设计,并进行试验验证。ARIZ算法打破心理惯性进行创造性思考和分析,将减振器系统进行功能分析并对系统功能建模,运用因果分析法逐层推导,得出减振器失效根原因,采用“缩小问题”法得到两个冲突区域。建立问题模型,推导评价步骤,生成理想解。运用SLP建立模型,结合物理冲突和生产实际,对创新解进行评估,得到最优方案。对参数优化后的储油缸总成进行多扭矩应力状态下疲劳耐久试验,结果表明:储油缸总成在各扭矩应力下的疲劳寿命、S-N曲线均优于失效减振器及试验标准,研究结果验证了ARIZ算法解决复杂问题的有效性和实用性,为工厂解决系统失效问题提供新思维方法。

Aiming at the fracture failure of the shock absorber of the vehicle in complex operation conditions,the ARIZ algorithm is used to optimize the design of the system and perform test verification.The ARIZ algorithm breaks psychological inertia for creative thinking and analysis,and is used to analyze the function of the shock absorber system,model the system function,deduce layer by layer using the causal analysis method,obtain the root cause of shock absorber failure,and obtain two conflict areas using the"reducing the problem"method.The problem model is established,the evaluation steps is deduced and the ideal solution is generated.A model is established using SLP.Combined with physical conflict and production practice,the innovative solution is evaluated and the optimal scheme is obtained.The fatigue durability experiment of the optimized reservoir cube assembly under multiple torque stress states is carried out.The results show that the fatigue life and S-N curve of the reservoir cube assembly in each torque stress state are better than the failure shock absorber and the experiment standard.The research results verify the effectiveness and practicability of the ARIZ algorithm to solve complex problems,and provide a new thinking method for solving system failure problems in factories.