电动矿用车前悬架K&C特性研究及性能优化

Research on K&C Characteristics and Performance Optimization of Electric Mining Vehicles Front Suspension

针对电动矿用车的双叉臂前悬架结构在实际运行中出现的严重轮胎磨损及前车架裂纹等问题,采取逆向思维对悬架关键定位参数进行仿真及关键硬点分析,以此优化双叉臂前悬架的操纵稳定性。首先通过SolidWorks软件根据图样尺寸创建双叉臂前悬架仿真模型,并导入ADAMS中,以此获取精确硬点坐标,调用ADAMS/Car进行前悬架K&C特性仿真分析。仿真结果表明,悬架前束角和轮胎侧向位移的相对异常变化量最明显,且超出了最优设计范围。最后运用ADAMS/Insight求解器对悬架的异常定位参数进行权重比设置及多目标优化。最终结果表明,优化后轮胎侧滑位移的优化率约为37.95%,前束角变化量的优化率约为34.77%。证明轮胎磨损情况得到有效改善,前悬架的整体操纵稳定性及结构稳定性有所提升。

In actual operation,the double wishbone suspension of electric mining vehicle will cause tire wear and cracks in the front frame.This paper adopts reverse thinking,creates a double wishbone front suspension model according to the actual size using SolidWorks,and imports it into ADAMS to obtain the precise hard point coordinates of the suspension,and calls ADAMS/Car to simulate the K&C characteristics of the front suspension.The simulation results show that the relative anomalous variations in the suspension front beam angle and tyre lateral slip displacement are the most significant and are outside the optimal design range.ADAMS/Insight is used to optimize the weight ratio setting of the abnormal positioning parameters of the suspension.The results show that the optimization rate of tire lateral slip displacement after optimization is about 37.95%,and the optimization rate of beam angle is about 34.77%.Tire wear has improved and the overall stability of the suspension has improved.