为了研究“溜滑”现象,提高办公座椅的舒适性,建立了一种研究人体座椅系统静态平衡位置(H点)的模型,同时考虑人体与靠背坐垫的相互作用,以及聚氨酯泡沫材料的非线性准静态力学性能,采用Matlab求解并用Working Model 2D进行分析验证。结...为了研究“溜滑”现象,提高办公座椅的舒适性,建立了一种研究人体座椅系统静态平衡位置(H点)的模型,同时考虑人体与靠背坐垫的相互作用,以及聚氨酯泡沫材料的非线性准静态力学性能,采用Matlab求解并用Working Model 2D进行分析验证。结果表明:材料越硬,静态平衡位置越接近材料未压缩状态下的位置;而人体静态平衡位置对于弹簧的位置变化最为敏感,改变弹簧刚度会直接影响材料对人体的支撑效果,弹簧弹簧刚度越大,人体最终的平衡位置就越接近初始位置;人体与坐垫之间的摩擦系数过小,人体在座椅上产生较大的滑动。展开更多
The linear seat suspension is considered due to the low cost consideration therefore, the optimal linear seat suspension design method can be used for this purpose. In this paper, the design of a passive vehicle seat ...The linear seat suspension is considered due to the low cost consideration therefore, the optimal linear seat suspension design method can be used for this purpose. In this paper, the design of a passive vehicle seat suspension system was handled in the framework of linear optimization. The variance of the dynamic load resulting from the vibrating vehicle operating at a constant speed was used as the performance measure of a suspension system. Using 4-DOF human body model developed by Abbas et al., with linear seat suspension and coupled with half car model. A genetic algorithm is applied to solve the linear optimization problem. The optimal design parameters of the seat suspension systems obtained are kse = 3 012.5 N/m and cse = 1 210.4 N.s/m, respectively.展开更多
文摘为了研究“溜滑”现象,提高办公座椅的舒适性,建立了一种研究人体座椅系统静态平衡位置(H点)的模型,同时考虑人体与靠背坐垫的相互作用,以及聚氨酯泡沫材料的非线性准静态力学性能,采用Matlab求解并用Working Model 2D进行分析验证。结果表明:材料越硬,静态平衡位置越接近材料未压缩状态下的位置;而人体静态平衡位置对于弹簧的位置变化最为敏感,改变弹簧刚度会直接影响材料对人体的支撑效果,弹簧弹簧刚度越大,人体最终的平衡位置就越接近初始位置;人体与坐垫之间的摩擦系数过小,人体在座椅上产生较大的滑动。
文摘The linear seat suspension is considered due to the low cost consideration therefore, the optimal linear seat suspension design method can be used for this purpose. In this paper, the design of a passive vehicle seat suspension system was handled in the framework of linear optimization. The variance of the dynamic load resulting from the vibrating vehicle operating at a constant speed was used as the performance measure of a suspension system. Using 4-DOF human body model developed by Abbas et al., with linear seat suspension and coupled with half car model. A genetic algorithm is applied to solve the linear optimization problem. The optimal design parameters of the seat suspension systems obtained are kse = 3 012.5 N/m and cse = 1 210.4 N.s/m, respectively.
