College of Mechanical Engineering, Liaoning Technical University
CHN Energy Zhungeer Energy Group Co., Ltd.
Research Institute of Technology and Equipment for the Exploitation and Utilization of Mineral Resources

为提高煤炭分选过程的生产效率，增加分选设备的使用寿命，最大限度地发挥选煤厂筛分设备潜在的生产能力，提高筛分工艺的合理性，以全面提升弛张筛筛分系统的筛分效率降低筛面磨损率，提出通过调节弛张筛性能参数的措施，使筛分效率达到最优，同时减小筛面的磨损。将柔性筛板离散化处理以降低柔性筛板仿真过程的复杂性，采用多体动力学仿真和离散元法耦合的方式，对筛面的筛分过程进行数值模拟，获得了弛张筛性能参数：弛张频率、筛面倾角、弛张量对筛分效率的影响规律，并综合考虑相关系数法和显著性检验方法，确定了弛张量为影响筛分效率的非关键因素。在总结了弛张筛筛分过程的磨损规律的基础上，通过Relative Wear和Archard Wear模型获得了仿真过程中筛面弛张量对磨损深度的影响规律。基于弛张量对筛分效率与磨损深度的双重影响，选用线性加权法进行筛面性能的多目标优化，获得了保证筛分效率最高磨损深度最小的筛面性能参数，并进行仿真验证。研究结果表明：筛分效率随筛面倾角的增大而减小，弛张量与弛张频率越大呈现先增大后减小的变化规律；筛面磨损与筛面弛张量同样呈先增大后减少趋势，综合考虑筛分效率与筛面磨损，获得了最优的筛面性能参数，即当筛面弛张量选择5 mm时，筛分效率可达到80.85%，而筛面磨损深度仅为0.051 6 mm，相较于最优筛分效率时筛面磨损量减少了26.5%，而筛分效率仅降低0.48%，能够在对筛分效率影响较小的条件下显著降低筛面磨损程度。表明经过优化后的弛张筛筛分性能具有了明显的改善。采用上述技术方案能够有效提高分选过程中筛分环节的性能参数，提升设备生产能力，同时为选煤厂分选系统的智能化提供了技术支撑。

In order to improve the production efficiency of the coal washing process, increase the service life of the washing equipment, maximize the potential production capacity of the screening equipment in the coal preparation plant, improve the rationality of the screening process, comprehensively improve the relaxation screen screening system and reduce the wear rate of the screen surface due to the high screening efficiency, a measure of adjusting the performance parameters of the relaxation screen is proposed to optimize the screening efficiency and reduce the wear of the screen surface. The flexible sieve plate is discretized to reduce the complexity of the simulation process of the flexible sieve plate, and the multi-body dynamics simulation and the discrete element method are used to numerically simulate the sieving process of the sieve surface, and the performance parameters of the relaxation sieve are obtained. : The influence law of relaxation frequency, sieve surface inclination, and relaxation amount on screening efficiency, and considering the correlation coefficient method and the significance test method comprehensively, it is determined that the relaxation amount is a non-key factor affecting the screening efficiency. On the basis of summarizing the wear law of the relaxation sieve screening process, the influence law of the sieve surface relaxation amount on the wear depth in the simulation process is obtained through the Relative Wear and Archard Wear models. Based on the dual effects of relaxation on screening efficiency and wear depth, the linear weighting method was selected for multi-objective optimization of screen surface performance, and the performance parameters of the screen surface that ensured the highest screening efficiency and minimum wear depth were obtained and verified by simulation. The research results show that: the screening efficiency decreases with the increase of the inclination angle of the screen surface, and the greater the relaxation amount and the relaxation frequency, the change rule increases first and then decreases; After increasing, the trend decreases. Considering the screening efficiency and the wear of the screen surface comprehensively, the optimal performance parameters of the screen surface are obtained, that is, when the relaxation amount of the screen surface is selected as 5 mm, the screening efficiency can reach 80.85%, and the wear depth of the screen surface It is only 0.051 6 mm, compared with the optimal screening efficiency, the wear of the screen surface is reduced by 26.5%, while the screening efficiency is only reduced by 0.48%, which can significantly reduce the wear of the screen surface under the condition that the screening efficiency is less affected. It shows that the sieving performance of the optimized relaxation sieve has been significantly improved. The adoption of the above technical solutions can effectively improve the performance parameters of the screening link in the washing process, improve the production capacity of the equipment, and provide technical support for the intelligence of the washing system of the coal preparation plant.

国家自然科学基金资助项目（51874158）

周永利，毛　君，谢　苗，等. 弛张筛筛分效率与筛面磨损的匹配优化研究[J]. 煤炭科学技术，2023，51（11）：202−213.

ZHOU Yongli，MAO Jun，XIE Miao，et al. Study on matching optimization of screening efficiency and screen surface wear of flip screen[J]. Coal Science and Technology，2023，51（11）：202−213.