矿用电机车手轮闸瓦制动连杆机构稳健设计

以矿用电机车手轮闸瓦制动连杆机构为研究对象，应用遗传算法和蒙特卡洛模拟法对其参数进行稳健设计与优化.首先，对矿用电机车手轮闸瓦制动连杆机构的运动过程进行分析，建立理想状况下的闸瓦制动连杆机构运动学模型.然后，考虑转动副间隙对该机构进行运动学分析，建立计入转动副模型的闸瓦制动连杆机构运动学模型.最后，以机构杆长为设计变量，以转动副间隙、间隙副接触角和杆件加工误差为噪声因素,建立以闸瓦制动距离误差均值和标准差最小化为目标的矿用电机车手轮闸瓦制动连杆机构参数稳健设计优化模型，并运用遗传算法和蒙特卡洛模拟法对参数进行稳健设计与优化.结果表明，闸瓦制动连杆机构制动距离的误差均值减小了15.4%，标准差降低了28.6%.在不提高连杆制造精度的前提下，能显著降低闸瓦制动过程的不确定性，对提高矿用电机车手轮闸瓦制动连杆机构的设计质量具有重要意义.

Robust Design for Handwheel Shoe Brake Linkage of Electric Mine Locomotive

A robust parameter design and optimization of handwheel shoe brake linkage for electric mine locomotive are studied,with genetic algorithm (GA) and Monte Carlo simulation used.Firstly,the kinematic model of linkage is established while the braking process of handwheel shoe brake linkage is analyzed.Secondly,the kinematical model of handwheel shoe brake linkage for electric mine locomotive is established based on the revolving pair clearance model.Finally,with the objective to satisfy the lowest mean error and standard deviation of shoe brake distance,taking the linkage length for the design variables and the revolving pair clearance and contact angle and machining error for noise factors,the model of robust parameter design and optimization for handwheel shoe brake linkage of mine electric locomotive is established,and the parameters are optimized.The result shows that the absolute error of shoe brake distance reduced by 15.4%,and the standard deviation of shoe brake distance reduced by 28.6%.The uncertainty of shoe brake process can be significantly reduced without raising the manufacturing precision of linkage.It has important significance in the design quality of handwheel shoe brake linkage.