期刊文献+

基于ADAMS的FSAE赛车双横臂前悬架的优化

Optimization Analysis of Double-Wishbone Front Suspension Parameter of FSAE Racing Car with ADAMS
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摘要 依据UG软件建立FSAE"KMUST"赛车三维视图模型,获得双横臂前悬架的硬点坐标,利用多体动力学仿真软件ADAMS中Car模块建立双横臂前悬架模型并进行左右车轮平行跳动仿真试验。分析仿真结果,确定需要优化的前轮定位参数,将需优化的参数设定为优化目标,利用ADAMS/Insight模块对设计目标进行灵敏度分析,优化灵敏度较高的因素。对比优化前、后的试验结果,证明优化后悬架的运动学特性得到提高。 3D UG model of FSAE "KMUST" racing car was designed. The key hard point coordination of the front suspension was obtained. The multi-body dynamic model of double-wishbone front suspension was established based on ADAMS/Car. According to Parallel Wheel Travel simulation test, the front wheel position parameters needed to be optimized were ascertained. Then the influence factors of these parameters sensitivity were analyzed by using ADAMS/Insight. Contrasting the result with the former proves that the kinematics characteristics of the front suspension were improved.
出处 《小型内燃机与车辆技术》 2015年第2期66-69,86,共5页 Small Internal Combustion Engine and Vehicle Technique
基金 赛车底盘系统优化设计(6493-20140069) 交通运输云南省专业综合改革试点项目(10968-76)
关键词 FSAE 双横臂前悬架 ADAMS 优化 仿真 FSAE, Double-wishbone front suspension, ADAMS, Optimization, Simulation
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