Improving freight axle load is the most effective method to improve railway freight capability; based on the imported technologies of railway freight bogie, the 27 t axle load side-frame cross-bracing bogie and sub-fr...Improving freight axle load is the most effective method to improve railway freight capability; based on the imported technologies of railway freight bogie, the 27 t axle load side-frame cross-bracing bogie and sub-frame radial bogie are developed in China. In order to analyze and compare dynamic interactions of the two newly developed heavy-haul freight bogies, we establish a vehi- cle-track coupling dynamic model and use numerical calculation methods for computer simulation. The dynamic performances of the two bogies are simulated separately at various conditions. The results show that at the dipped joint and straight line running conditions, the wheel-rail dynamic interactions of both bogies are basically the same, but at the curve negotiation condition, the wear and the lateral force of the side-frame cross-bracing bogie are much higher than that of the sub-frame radial bogie, and the advantages become more obvious when the curve radius is smaller. The results also indicate that the sub- frame radial bogie has better low-wheel-rail interaction characteristics.展开更多
基金supported by the National Natural Science Foundation of China (No. 50975238)
文摘Improving freight axle load is the most effective method to improve railway freight capability; based on the imported technologies of railway freight bogie, the 27 t axle load side-frame cross-bracing bogie and sub-frame radial bogie are developed in China. In order to analyze and compare dynamic interactions of the two newly developed heavy-haul freight bogies, we establish a vehi- cle-track coupling dynamic model and use numerical calculation methods for computer simulation. The dynamic performances of the two bogies are simulated separately at various conditions. The results show that at the dipped joint and straight line running conditions, the wheel-rail dynamic interactions of both bogies are basically the same, but at the curve negotiation condition, the wear and the lateral force of the side-frame cross-bracing bogie are much higher than that of the sub-frame radial bogie, and the advantages become more obvious when the curve radius is smaller. The results also indicate that the sub- frame radial bogie has better low-wheel-rail interaction characteristics.
文摘受货车侧架去除区域复杂结构影响,针对在铸造清理视觉拍摄过程中二维图像存在颜色特征模糊等问题,提出一种基于改进YOLOv10n的侧架铸造残余检测算法。引入轻量级通用上采样算子——内容感知特征重组上采样算子(content aware reassembly of features,CARAFE)模块,有效增加了网络模型的整体感知范围以及对有效语义信息的利用,在不影响网络复杂度的同时提升了检测模型对残余特征的识别能力。提出一种轻量级Mobile_CA模块替换原主干网络,显著降低网络的复杂度。实验结果表明:改进后的网络在铸造残余检测任务中平均检测精度mAP@0.5为93.8%,平均检测速度为65.6帧/s,相较于原网络,mAP@0.5提高了1.1%,检测速度显著提升,能够满足工况对于检测精度和效率的要求。
