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中英文文献翻译-采煤机滚筒的装载性能参数分析,中英文,文献,翻译,采煤,滚筒,装载,性能参数,分析

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采煤机滚筒的装载性能参数分析Liu Songyong , Du Changlong, Zhang Jiajia, Jiang HaoSchool of Mechanical and Electrical Engineering, China University of Mining & Technology, Xuzhou 221116, China关键词：采煤机滚筒装载性能 正交试验显著性分析摘要：为了研究提高采煤机滚筒的装载性能，开发三种不同螺旋角（15，20和25）的滚筒。在不同的滚筒旋转速度（80，100，和120转/分）和不同的牵引速度（1.5，2.0和2.5米/分钟）进行了九个正交实验。不同条件下滚筒的载煤量和切削功率有所不同。通过确定这些参数的的极端差分法分析确定影响因素。结果表明，螺旋叶片的变化对滚筒的装载性能的影响幅度是最大的。牵引速度对加载性能的影响其次。螺旋角对滚筒的切削功率影响最小。牵引速度对滚筒的切削功率有最大的影响。1。介绍在中国的一些地区中厚煤层的煤已经完全可以开采。矿井的寿命可以延长，并可能通过薄煤层获得额外的可持续生产，或非常薄煤层的采矿方法。开采薄煤层有三大困难：可靠性，适应性，滚筒载荷性能。装载性能是整体问题，并且对生产效率的影响是最大的。切割性能指标（具体的能源消耗，可吸入粉尘的数量，或切削负荷）和鼓参数（结构和运动学参数）之间的关系已经在1到8中进行研究。在这些研究中提出了一种方法，改善采煤机滚筒的切削加工性能。9到13研究了采煤机的负载性能。这些研究表明，通过改变其结构类型和滚筒的结构参数，滚筒的装载性能可得到改善。滚筒的的装载性能，主要由螺旋角14的影响。基于在此之前的工作中，加载性能和螺旋角，旋转速度和牵引速度等滚筒参数之间的关系在这里报告，直接关系到为生产提供有用的结论。2实验为了获得所需的关系使用的切削试验床煤岩15和16进行实验。装载量和切削功率作为不同的切削条件下的衡量标准。本文中图所示的实验设备和加载过程。图1和图2。图1 实验原理。（1）液压缸支架（2）水平转换气缸;（3）水平平移导轨;（4）电动机（5）联轴器1（6）减速器1（7）联轴器2（8）扭矩传感器（9）联轴器3（10）轴承座（11）测力支架（12）压力传感器（13）测试滚筒（14）煤壁（15）;齿轮齿条（16）垂直平移导轨（17）减速器2（18）联轴器4（19）液压马达。图2滚筒加载过程。实验切削条件为：15，20或25的螺旋角（），旋转速度（n）的80，100，或120转/分钟;，牵引速度（Vq） 1.5，2.0或2.5米/分钟。煤炭模拟的抗压强度是1.97兆帕。通过使用正交试验法，测试费用和测试次数减少，效率的提高。螺旋角，旋转速度，牵引速度的因素分别用A、B、C表示，每个因子可以有三个不同的值。合并完成后，实验计划将有33= 27个试验，但9个试验进行正交试验法。这些因素和正交设计示于表1和表2中。表1试验因素和水平。水平A（）B（）C（Vq）115801.52201002.03251202.5表2正交试验。指数（）N（转/分）VQ （米/分钟）115802.52151001.53151202.0420802.05201002.56201201.5725801.58251002.09251202.53。结果与讨论共9个试验进行了以下表2中列出的组合。装载量和切削功率用来测定不同的螺旋角度和不同的运动学参数，得到表3所示的结果。表3测试结果。指数（）N（转/分）VQ （米/分钟）H（）P（千瓦）115802.530.5610.862151001.540.158.133151202.037.227.36420802.056.899.145201002.554.6310.836201201.545.397.26725801.535.117.428251002.048.979.689251202.534.819.27为水平因素的观测值的总和，j和i由下式给出：发现通过极端差分法研究各因素对结果的影响。通过适合的正交试验和差分法用来确定每个因素的影响17到 20。其结果示于表4中。表4试验结果分析。指数ABC测试值平方值11131Y1221212Y2231323Y3242124Y4252235Y5262316Y6273117Y7283228Y8293339Y92K表1K表1A：1乙：1WK表2K表2AK2乙K2K表3K表K3乙K3乙PQQ AQ BQ C表选项每个反应变量的结果在表5中给出。ki是水平的平均值，R是极端的差异，通过下式计算：表5中。每个反应变量的结果。装载效率（）切割功率（P）ABCABCK表1107.93122.560120.65026.35027.4222.81K表2156.91143.750143.08027.23028.6426.18K表3118.89117.420120.00026.37023.8930.96K表135.9840.85340.2178.7809.147.60K表252.3047.91747.6939.0809.558.73339.6339.14040.0008.7907.9610.3216.338.7777.6930.3001.592.72383.73079.95P16361.120710.22W17055.650726.4316801.4216491.73016476.120710.390714.28721.40Q440.30130.610115.0000.1674.05711.178分析极端值R可以得出以下的结论：（1）根据正交试验的相关知识，分析各因素对各项性能指标的影响可能会体现的极端差异值。这表明，运行参数对滚筒载荷性能影响顺序为：螺旋角转鼓转速牵引速度。对于滚筒切削功率的影响的顺序为：牵引速度转鼓转速螺旋角。（2）确定影响级别应注意：较大的ki值表示更大的装载效率。第二因子A的水平高于其它，因为（）。最高的A2B2C2响应时，得到。这代表了螺旋角为20，滚筒转速为100转/分，以及牵引速度为2.0米/分钟。然而，较小的ki值显示所需的切削功率较小。A3B3C1获得了功耗最低的关系找到的螺旋角为25，滚筒转速为120转/分，以及牵引速度为1.5米/分钟。在这些条件下的切削厚度减小和切割能量消耗增加。这些结果，可更直观地绘制为横坐标表示响应的因素，纵坐标表示装载效率和切削功率。如图3和图4。图3，装载因子水平与效率。图选项图4，切断电源与因子水平。图3和图4显示装载效率随因素的增加先增加后减少。螺旋角对装载效率的影响最大。因此，当试图提高装载性能时螺旋角度应被认为是最重要的。随着螺旋角与滚筒的旋转速度增加，切削功率先增大后减小。然而，切削功率随着牵引速度增加而单调增加。牵引速度对切割功率的影响最大。因此，减少切削功率时应优先考虑牵引速度。经方差分析决定因素。其结果示于表6中。表6。方差分析。偏差自由度均方差F值一Q Af乙Q BF BQ CF CQf总和Q TF T表7和表8表明，螺旋角对装载效率的影响非常显著，旋转速度和牵引速度对装载效率的效果同样明显。螺旋角对切削功率的影响是微不足道的，旋转速度和牵引速度对切削功率的影响是轻微的。表7方差分析：装载效率。偏差自由度均方差F值影响A440.302220.1551.089很明显B130.61265.3115.153明显C115.00257.5013.341明显Q8.6284.31Q T694.00表8。方差分析：切削功率。偏差自由度均方差F值影响A0.16752微不足道B4.057520.0838较明显C11.17822.02880.2075明显Q0.807525.88885.0243Q T16.210080.403814.58305从表5中的偏差的值QA, QB, 和 QC，其他参数的计算如下：式（1）根据式（1）和显着性的标准，装载效率和切削功率显着性水平在表7和表8显示。表7和表8表明，螺旋角对装载效率的效果非常显着，旋转速度和牵引速度对装载效率的效果明显。螺旋角对切削功率的影响是微不足道的，旋转速度对切削功率的影响轻微，牵引速度对切削功率的影响明显。4。结论（1）在采煤机滚筒设计，可以优先考虑提高生产效率，滚筒的旋转速度其次，牵引速度最后考虑。（2）采煤机因素的使用优先级顺序为：牵引速度旋转转速螺旋角，对降低采煤机截割功率是非常重要的。（3）分析表明：滚筒的旋转速度直接影响了采煤机的生产效率和切削效率。然而，在地下不能改变滚筒的旋转速度。基于此变速滚筒采煤机应在未来得到研究。致谢这项工作由中国国家自然科学基金（编号：51005232）和中国博士后科学基金（编号20100481176）提供金融支持，在此表示诚挚的谢意。参考文献1 Mazurkiewicz D. Empirical and analytical models of cutting process of rock. JMin Sci 2000;36(5):4816.2 Venkataraman Muralidharan. Effect of rate of sumping on fragmentationprocess in laboratory rotary cutting simulator. West Virginia: College ofMineral and Energy Resources at West Virginia University; 2003.3 Qayyum Rizwan A. Effects of bit geometry in multiple bit rockinteraction. West Virginia: College of Engineering and Mineral Resources atWest Virginia University; 2003.4 Hekimoglu OZ, Ozdemir L. Effect of angle of wrap on cutting performance ofdrum shearers and continuous miners. Mining Technol 2004;113:11822.5 Mustafa Eyyuboglu E, Bolukbasi Naci. Effects of circumferential pick spacing onboom type roadheader cutting head performance. Tunn Undergr Space Technol2005;20:41825.6 Bo Y. Numerical simulation of continuous miner rock cutting process. WestVirginia: College of Engineering and Mineral Resources at West VirginiaUniversity; 2005.7 Xia YM, Bu YY, Ma ZG, Zhao HM, Luo BW. Modeling and simulation of oceanmining subsystem based on virtual prototyping technology. J Center SouthUniv Technol 2005;12(2):17680.8 Liu SY, Du CL, Cui XX. Model test of the cutting properties of a shearer drum.Mining Sci Technol 2009;19(1):748.9 Ayhan M, Eyyuboglu EM. Comparison of globoid and cylindrical shearer drumsloading performance. J South African Inst Mining Metallurgy 2006;106(1):516.10 Liu SY, Du CL, Cui XX, Song J. Experiment research on a new shearer drum.Procedia Earth Planet Sci 2009;1:13937.11 Fu WX, Liu Z. Analysis on the structure and coal-loading performance of sheardrum. Coal Mine Machinery 1997;3:335 in Chinese.12 Wang CL, Liu Z. Study on loading performance of shears affecting turningdirection of drum. J Huainan Mining Inst 1997;17(4):3741 in Chinese.13 Liu Z, Zhu HL. Experimental investigations by simulation of loadingperformance of shearer spiral drums. J Huainan Mining Inst 1989;2:3741in Chinese.14 Liu SY. Research on cutting performance of shearer drum and cutting systemdynamics. XU Zhou: China University of Mining and Technology; 2009.15 Wang YN, He QM, Liu YM. Development of coal-rock cutting experimentaltable. Zhongzhou Coal 2010;2:910 in Chinese.16 Wang YN, Liu YM. Experiment research on simulated cutting material. Coal SciTechnol 2010;38(2):5860 in Chinese.17 Pan LJ, Chen JQ. Experimental design and data processing. Nanjing: SoutheastUniversity Press; 2008 in Chinese.18 Xin YJ. Variance analysis and experimental design. Beijing: China FinanceEconomy Press; 2002 in Chinese.19 Ozel Tugrul, Zeren Erol. Determination of work material flow stress andfriction for FEA of machining using orthogonal cutting tests. J Mater ProcessTechnol 2004;153(10):101925.20 Bai Y, Gao HM, Wu L, Ma ZH, Cao N. Influence of plasma-MIG weldingparameters on aluminum weld porosity by orthogonal test. Trans NonferrousMet Soc China 2010;20(8):13926.Parameters analysis of shearer drum loading performance Liu Songyong, Du Changlong, Zhang Jiajia, Jiang Hao School of Mechanical and Electrical Engineering, China University of Mining a drum rotation speed (n) of 80, 100, or 120 r/min; and, a haulage speed (Vq) of 1.5, 2.0, or 2.5 m/min. The compressive strength of the coal analog was 1.97 MPa. Testing expenses and testing times were reduced, and effi ciency improved, by using the orthogonal test method. The helical angle, the rotation speed, and the haulage speed are the factors A, B, and C, respectively. Each factor could have one of three different values. The combined, complete, experimental program would have had 33= 27 trials but nine trials were done following the orthogonal test method. The factors and the orthogonal design are shown in Tables 1 and 2. 3. Results and discussion A total of nine trials were conducted following the combina- tions listed in Table 2. The loaded quantity and the cutting power were measured for different helical angles and different kinematic parameters to give the results shown in Table 3. Kjiis the sum of the observed value of factor j at level i and the other terms are given by: K X 9 i1 Yi; P 1 9 K2; W X 9 i1 Y2 i; UA 1 3 X 3 i1 KA i 2; UB 1 3 X 3 i1 KB i 2; Q C UC? P; UC 1 3 X 3 i1 KC i 2; QA UA? P; QB UB? P: 1674-5264/$ - see front matter ? 2011 Published by Elsevier B.V. on behalf of China University of Mining 36(5):4816. 2 Venkataraman Muralidharan. Effect of rate of sumping on fragmentation process in laboratory rotary cutting simulator. West Virginia: College of Mineral and Energy Resources at West Virginia University; 2003. 3 QayyumRizwanA.Effectsofbitgeometryinmultiplebitrock interaction. West Virginia: College of Engineering and Mineral Resources at West Virginia University; 2003. 4 Hekimoglu OZ, Ozdemir L. Effect of angle of wrap on cutting performance of drum shearers and continuous miners. Mining Technol 2004;113:11822. 5 Mustafa Eyyuboglu E, Bolukbasi Naci. Effects of circumferential pick spacing on boom type roadheader cutting head performance. Tunn Undergr Space Technol 2005;20:41825. 6 Bo Y. Numerical simulation of continuous miner rock cutting process. West Virginia: College of Engineering and Mineral Resources at West Virginia University; 2005. 7 Xia YM, Bu YY, Ma ZG, Zhao HM, Luo BW. Modeling and simulation of ocean mining subsystem based on virtual prototyping technology. J Center South Univ Technol 2005;12(2):17680. 8 Liu SY, Du CL, Cui XX. Model test of the cutting properties of a shearer drum. Mining Sci Technol 2009;19(1):748. 9 Ayhan M, Eyyuboglu EM. Comparison of globoid and cylindrical shearer drums loadingperformance.JSouthAfricanInstMiningMetallurgy2006; 106(1):516. 10 Liu SY, Du CL, Cui XX, Song J. Experiment research on a new shearer drum. Procedia Earth Planet Sci 2009;1:13937. 11 Fu WX, Liu Z. Analysis on the structure and coal-loading performance of shear drum. Coal Mine Machinery 1997;3:335 in Chinese. 12 Wang CL, Liu Z. Study on loading performance of shears affecting turning direction of drum. J Huainan Mining Inst 1997;17(4):3741 in Chinese. 13 LiuZ,ZhuHL.Experimentalinvestigationsbysimulationofloading performance of shearer spiral drums. J Huainan Mining Inst 1989;2:3741 in Chinese. 14 Liu SY. Research on cutting performance of shearer drum and cutting system dynamics. XU Zhou: China University of Mining and Technology; 2009. 15 Wang YN, He QM, Liu YM. Development of coal-rock cutting experimental table. Zhongzhou Coal 2010;2:910 in Chinese. 16 Wang YN, Liu YM. Experiment research on simulated cutting material. Coal Sci Tec