Jin Xin, Han Dongpo, Zhao Guochao, Zhao Lijuan, Liu Hongmei
School of Mechanical Engineering, Liaoning Technical University, Fuxin, 123000, China.
Sci Rep. 2025 Jan 9;15(1):1409. doi: 10.1038/s41598-025-85464-7.
Drums are the core working mechanism of the coal mining machine for coal mining. The structural design level of the drum is crucial for mining efficiency and safety production. Traditional design methods not only have long design cycles and high costs, but also limited design capabilities. This study used computer numerical simulation methods to establish coupled models for drum cutting complex coal seams, which was used to obtain the working performance of drums with different structures. By fitting the comprehensive performance evaluation function of the drum, the optimal structural parameters are obtained through the improved Non-Dominated Sorting Genetic Algorithms (NSGA-II). Taking into account both technical and economic factors, the optimal helix angle is ultimately determined to be 18°, the optimal installation angle is 45°, and the optimal cutting distance is 71 mm. Through experiments, it has been proven that the performance of the optimized drum has significantly improved. Specifically, the average cutting resistance has been reduced by 12.72%, the load fluctuation coefficient has been reduced by 9.81%, the cutting specific energy consumption has been reduced by 2.85%, and the coal loading rate has been increased by 9.59%, providing a reference for the optimization design of the shearer drum structure.
滚筒是采煤机进行煤炭开采的核心工作机构。滚筒的结构设计水平对于开采效率和安全生产至关重要。传统设计方法不仅设计周期长、成本高，而且设计能力有限。本研究采用计算机数值模拟方法建立滚筒截割复杂煤层的耦合模型，用于获取不同结构滚筒的工作性能。通过拟合滚筒综合性能评价函数，采用改进的非支配排序遗传算法（NSGA-II）得到最优结构参数。综合考虑技术和经济因素，最终确定最优螺旋角为18°，最优安装角为45°，最优截割间距为71毫米。通过实验证明，优化后的滚筒性能有显著提升。具体而言，平均截割阻力降低了12.72%，负载波动系数降低了9.81%，截割比能耗降低了2.85%，装煤率提高了9.59%，为采煤机滚筒结构的优化设计提供了参考。
