研究冷却/润滑液对硬岩盘式切割机电耗的影响

IF 1.2 Q3 GEOSCIENCES, MULTIDISCIPLINARY Rudarsko-Geolosko-Naftni Zbornik Pub Date : 2022-01-01 DOI:10.17794/rgn.2022.5.11
R. Mikaeil, Mostafa Piri, Sina Shaffiee Haghshenas, A. Esmaeilzadeh, Payam Rajabzadeh Kanafi, Roohollah Shirani Faradonbeh, S. M. Hosseini, M. M. Asl
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引用次数: 0

摘要

岩石切割是生产尺寸岩石的关键步骤之一,其成本很高。岩石切割机的电流消耗是这一生产过程的主要成本因素。确定诸如机器的操作配置、岩石的机械和物理特性以及冷却/润滑流体类型等因素对切割机性能的影响可以显著降低操作成本。本研究评估了圆盘切割机在不同操作条件下,使用不同的冷却/润滑流体切割硬岩生产尺寸岩石时的电流消耗。为此,在不同的操作条件下(切割深度为0.5、0.7、1和1.3 cm,进给量为45、60、75和90 cm/min),使用五种冷却/润滑流体,包括自来水、比例为1:40和1:20的肥皂水,以及比例为30:10和15:10的商业切割功率(Abtarash),进行了许多切割试验。在研究了五种流体存在情况下工作参数与切割机电流率之间的关系后,建立了几种线性和非线性的多元统计模型来预测切割机的电流率。采用t检验和f检验的统计方法对所建立的模型进行评价。结果表明,利用所建立的模型,可以根据冷却/润滑液的粘度和pH等特性准确地预测切割机的电流消耗。
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INVESTIGATING THE EFFECT OF COOLING/LUBRICANT FLUIDS ON THE AMPERAGE DRAW OF DISC CUTTING MACHINES FOR HARD ROCKS
One of the most crucial steps in producing dimension rocks is the rock cutting process, which incurs a high cost. The amperage draw of rock cutting machines is a major cost factor of this production process. Determining the effect of factors, such as the machine’s operating configurations, mechanical and physical characteristics of the rock, and type of cooling/lubricant fluid, on the cutting machine’s performance can significantly reduce operational costs. This study evaluates the electrical current consumption of a disc cutting machine during the cutting of hard rocks for producing dimension rocks under different operating conditions and using different fluids for cooling/lubrication. For this purpose, a number of cutting tests were performed under different operating conditions (cutting depths of 0.5, 0.7, 1, and 1.3 cm and feed rates of 45, 60, 75, and 90 cm/min) with five cooling/lubrication fluids, including tap water, soap water with a ratio of 1:40 and 1:20, and a commercial cutting power (Abtarash) with a ratio of 30:10 and 15:10. After examining the relationship between operating parameters and the amperage draw of the cutting machine in the presence of five fluids, several linear and nonlinear multivariate statistical models were developed to predict the amperage draw of the cutting machine. The developed models were evaluated using the t-test and F-test statistical methods. The results showed that using the developed models, the amperage draw of the cutting machine can be accurately predicted from the properties of the cooling/lubrication fluid, including viscosity and pH.
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来源期刊
CiteScore
2.50
自引率
15.40%
发文量
50
审稿时长
12 weeks
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