Research on optimization of working performance of shearer drum
-
摘要: 在实际生产中，截割破碎过程是多作用耦合的结果，离散元法（DEM）与多体动力学（MBD）双向耦合技术可实现煤机设备与煤壁的信息交互，符合实际生产情况，具有较大的优越性。为提高采煤机滚筒的工作性能，基于DEM−MBD双向耦合机理，结合力学性能试验和模拟试验得到实际工况参数，采用仿真软件EDEM和RecurDyn建立了采煤机滚筒截割煤壁的双向耦合模型，对仿真过程中滚筒所受的转矩和截割力进行分析，证明耦合效果和截割效果较好。设计了单因素试验和正交试验，分析了滚筒运行参数对工作性能的影响规律，并利用SPSS软件得到滚筒转速、截割深度、牵引速度对截割比能耗、装煤率、载荷波动系数的影响程度，通过现场试验验证了模型的可行性。构建了以滚筒转速、截割深度、牵引速度为决策变量，以截割比能耗、装煤率和载荷波动系数为目标的多目标优化模型，利用改进多目标灰狼（MOGWO）算法和优劣解距离法（TOPSIS）对模型进行求解，得出当滚筒转速为31.12 r/min、截割深度为639.4 mm、牵引速度为5.58 m/min时，采煤机滚筒的工作性能最优，此时截割比能耗为0.467 7 kW·h/m3，装煤率为43.01%，载荷波动系数为0.327 8。Abstract: In actual production, the cutting and crushing process is the result of multi action coupling. The bidirectional coupling technology of discrete element method (DEM) and multi bodydynamics (MBD) can achieve information exchange between coal mining equipment and coal wall. It is in line with actual production situations and has significant advantages. In order to improve the working performance of the shearer drum, based on the DEM-MBD bidirectional coupling mechanism, combined with mechanical performance experiments and simulation experiments to obtain actual operating parameters, a bidirectional coupling model of the shearer drum cutting coal wall is established using simulation software EDEM and RecurDyn. The torque and cutting force experienced by the drum during the simulation process are analyzed, and it is proved that the coupling effect and cutting effect are good. Single factor experiments and orthogonal experiments are designed to analyze the influence of drum operating parameters on working performance. SPSS software is used to obtain the degree of influence of drum speed, cutting depth, and traction speed on cutting specific energy consumption, coal loading rate, and load fluctuation coefficient. The feasibility of the model is verified through on-site experiments. A multi-objective optimization model is constructed with drum speed, cutting depth, and traction speed as decision variables, and cutting specific energy consumption, coal loading rate, and load fluctuation coefficient as objectives. The improved multi-objective gray wolf optimization (MOGWO) algorithm and technique for order preference by similarity to ideal solution (TOPSIS) method are used to solve the model. It is found that when the drum speed is 31.12 r/min, the cutting depth is 639.4 mm, and the traction speed is 5.58 m/min, the working performance of the shearer drum is optimal. At this time, the cutting specific energy consumption is 0.467 7 kW·h/m3, the coal loading rate is 43.01%, and the load fluctuation coefficient is 0.327 8.
-
图 2 煤岩物理力学性能试验过程
Figure 2. Experimental process of coal rock physical and mechanical properties
图 10 不同滚筒运行参数与工作性能关系
Figure 10. Relationship between different drum parameters and performance
图 13 不同滚筒转速下颗粒速度云图及曲线
Figure 13. Particle velocity clouds and curves at different drum speeds
图 19 不同算法生成的 Pareto解集分布
Figure 19. Distribution of Pareto solution sets generated by different algorithms
表 1 煤岩物理力学参数
Table 1. Coal rock physical and mechanical parameters
参数 煤 夹矸 泊松比 0.28 0.24 密度/（kg·m−3） 1400 2300 弹性模量/GPa 1.73 17.81 抗拉强度/MPa 1.35 2.24 抗压强度/MPa 11.25 28.6 坚固性系数 0.7 2.5 
下载: 导出CSV
表 2 不同滚筒运行参数下的仿真结果
Table 2. Simulation results of different drum parameters
方案 n/
（r·min−1）d/
mmv/
（m·min−1）HW/
（kW·h·m−3）Q/% δ 1−1 30 500 6 0.451 39 0.361 6 1−2 40 500 6 0.502 41 0.402 9 1−3 50 500 6 0.577 40 0.424 4 1−4 60 500 6 0.629 38 0.435 0 1−5 70 500 6 0.666 35 0.449 1 2−1 40 450 6 0.504 42 0.416 8 2−2 40 500 6 0.502 41 0.402 9 2−3 40 550 6 0.503 39 0.386 8 2−4 40 600 6 0.492 36 0.364 4 2−5 40 650 6 0.489 35 0.357 5 3−1 40 500 2 0.697 33 0.367 3 3−2 40 500 3 0.627 38 0.389 8 3−3 40 500 4 0.550 40 0.395 9 3−4 40 500 5 0.535 42 0.400 3 3−5 40 500 6 0.502 41 0.402 9
下载: 导出CSV
表 3 正交试验组合与结果
Table 3. Orthogonal test combinations and results
方案 因素 HW/
（kW·h·m−3）Q/% δ n/
（r·min−1）d/
mmv/
（m·min−1）1 30 450 2 0.643 31 0.342 8 2 30 550 4 0.573 36 0.342 0 3 30 650 6 0.455 33 0.321 2 4 50 450 4 0.613 41 0.421 5 5 50 550 6 0.575 35 0.409 0 6 50 650 2 0.720 26 0.351 4 7 70 450 6 0.661 38 0.460 1 8 70 550 2 0.792 27 0.392 0 9 70 650 4 0.688 31 0.381 2
下载: 导出CSV
表 4 相关性水平分析
Table 4. Correlation level analysis
相关性 HW/
（kW·h·m−3）Q/% δ n/（r·min−1） A 0.685** −0.291 0.646** B 0.000 0.168 0.001 d/mm A −0.026 −0.581** −0.585** B 0.903 0.003 0.003 v/（m·min−1） A −0.719** 0.630** 0.375 B 0.000 0.001 0.071
下载: 导出CSV
-
[1] 王虹,王步康,张小峰,等. 煤矿智能快掘关键技术与工程实践[J]. 煤炭学报,2021,46(7):2068-2083.WANG Hong,WANG Bukang,ZHANG Xiaofeng,et al. Key technology and engineering practice of intelligent rapid heading in coal mine[J]. Journal of China Coal Society,2021,46(7):2068-2083. [2] 葛帅帅,秦大同,胡明辉. 突变工况下滚筒式采煤机调速控制策略研究[J]. 煤炭学报,2015,40(11):2569-2578.GE Shuaishuai,QIN Datong,HU Minghui. Research on drum shearer speed control strategies under impact conditions[J]. Journal of China Coal Society,2015,40(11):2569-2578. [3] XING Zhizhong,GUO Wei. Analysis and research on working performance of shearer based on discrete element method[J]. IEEE Access,2019,7:121321-121331. doi: 10.1109/ACCESS.2019.2937569 [4] 赵丽娟,王雅东,王斌. 含夹矸煤层条件下采煤机螺旋滚筒工作性能分析与预测[J]. 中国机械工程,2021,32(8):976-986.ZHAO Lijuan,WANG Yadong,WANG Bin. Analysis and prediction of working performance of shearer spiral drums under coal seam with gangue[J]. China Mechanical Engineering,2021,32(8):976-986. [5] 张强,张晓宇. 不同工况下采煤机滚筒截割性能研究[J]. 应用力学学报,2021,38(6):2360-2368.ZHANG Qiang,ZHANG Xiaoyu. Cutting performance of shearer drum under different working conditions[J]. Chinese Journal of Applied Mechanics,2021,38(6):2360-2368. [6] 李明昊,牛昊,范佳艺,等. 采煤机螺旋滚筒装煤性能优化[J]. 工矿自动化,2022,48(10):129-135.LI Minghao,NIU Hao,FAN Jiayi,et al. Optimization of coal loading performance of shearer screw drum[J]. Journal of Mine Automation,2022,48(10):129-135. [7] 赵丽娟,王雅东,张美晨,等. 复杂煤层条件下采煤机自适应截割控制策略[J]. 煤炭学报,2022,47(1):541-563.ZHAO Lijuan,WANG Yadong,ZHANG Meichen,et al. Research on self-adaptive cutting control strategy of shearer in complex coal seam[J]. Journal of China Coal Society,2022,47(1):541-563. [8] 王雅东,赵丽娟,张美晨. 采煤机自适应调高控制策略[J]. 煤炭学报,2022,47(9):3505-3522.WANG Yadong,ZHAO Lijuan,ZHANG Meichen. Research on self-adaptive height adjustment control strategy of shearer[J]. Journal of China Coal Society,2022,47(9):3505-3522. [9] MA Haozhou,WANG Xuewen,LI Bo,et al. Study on the mechanical effect and wear behaviour of middle trough of a scraper conveyor based on DEM-MBD[J]. Proceedings of the Institution of Mechanical Engineers,Part J:Journal of Engineering Tribology,2022,236(7):1363-1374. doi: 10.1177/13506501211059259 [10] 梁旭,郭佳毫,常毛毛,等. 矸石层形态对掘锚机截割特性影响仿真分析[J]. 工矿自动化,2023,49(3):93-99.LIANG Xu,GUO Jiahao,CHANG Maomao,et al. Simulation analysis of the influence of gangue layer morphology on the cutting characteristics of the roadheader bolter[J]. Journal of Mine Automation,2023,49(3):93-99. [11] 张美晨,赵丽娟,李明昊,等. 基于双向耦合法的采煤机螺旋滚筒振动特性分析[J]. 煤炭科学技术,2024,52(3):200-216.ZHANG Meichen,ZHAO Lijuan,LI Minghao,et al. Analysis and experimental study on the vibration characteristics of the spiral drum of a shearer based on two-way coupling method[J]. Coal Science and Technology,2024,52(3):200-216. [12] 王国强,郝万军,王继新. 离散单元法及其在EDEM上的实践[M]. 西安:西北工业大学出版社,2010:3-13.WANG Guoqiang,HAO Wanjun,WANG Jixin. Discrete unit method and its practice on EDEM[M]. Xi'an:Northwestern Polytechnical University Press,2010:3-13. [13] 金鑫. 采煤机螺旋滚筒截割含夹矸煤岩双向耦合作用机理及磨损特性研究[D]. 阜新:辽宁工程技术大学,2020.JIN Xin. Study on the two-way coupling mechanism and wear characteristics of shearer drum cutting coal-rock with gangue[D]. Fuxin:Liaoning Technical University,2020. [14] CHEN Zeren,CHEN Guoqiang,XUE Duomei. An approach to calibration of BPM bonding parameters for iron ore[J]. Powder Technology:An International Journal on the Science and Technology of Wet and Dry Particulate Systems,2021,381:245-254. [15] 赵丽娟,闻首杰,刘旭南. 仿真颗粒半径对模拟滚筒截割复杂煤层的影响研究[J]. 机械科学与技术,2020,39(1):52-57.ZHAO Lijuan,WEN Shoujie,LIU Xunan. The influence of simulated particle radius on complex coal seam of drum cutting[J]. Mechanical Science and Technology for Aerospace Engineering,2020,39(1):52-57. [16] ROJEK J,OÑATE E,LABRA C. Discrete element simulation of rock cutting[J]. International Journal of Rock Mechanics and Mining Sciences,2011,48(6):996-1010. doi: 10.1016/j.ijrmms.2011.06.003 [17] 秦大同,王镇,胡明辉,等. 基于多目标优化的采煤机滚筒最优运动参数的动态匹配[J]. 煤炭学报,2015,40(增刊2):532-539.QIN Datong,WANG Zhen,HU Minghui,et al. Dynamic matching of optimal drum movement parameters of shearer based on multi-objective optimization[J]. Journal of China Coal Society,2015,40(S2):532-539. [18] 毛君,刘歆妍,陈洪月,等. 基于EDEM的采煤机滚筒工作性能的仿真研究[J]. 煤炭学报,2017,42(4):1069-1077.MAO Jun,LIU Xinyan,CHEN Hongyue,et al. Simulation of shearer drum cutting performance based on EDEM[J]. Journal of China Coal Society,2017,42(4):1069-1077. [19] 徐向宇. 综掘机截齿截割破煤机理及产尘规律研究[D]. 焦作:河南理工大学,2021.XU Xiangyu. Study on coal breaking mechanism and dust generation law of roadheader pick[D]. Jiaozuo:Henan Polytechnic University,2021. [20] MIRJALILI S,SAREMI S,MIRJALILI S M,et al. Multi-objective grey wolf optimizer:a novel algorithm for multi-criterion optimization[J]. Expert Systems with Applications,2016,47(1):106-119. [21] FARIS H,ALJARAH I,AL-BETAR M A,et al. Grey wolf optimizer:a review of recent variants and applications[J]. Neural Computing and Applications,2018,30(2):413-435. doi: 10.1007/s00521-017-3272-5 [22] 王秋萍,王梦娜,王晓峰. 改进收敛因子和比例权重的灰狼优化算法[J]. 计算机工程与应用,2019,55(21):60-65,98.WANG Qiuping,WANG Mengna,WANG Xiaofeng. Improved grey wolf optimizer with convergence factor and proportional weight[J]. Computer Engineering and Applications,2019,55(21):60-65,98. -
点击查看大图
图(19) / 表(4)
计量
- 文章访问数: 133
- HTML全文浏览量: 21
- PDF下载量: 15
- 被引次数: 0
