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首页> 外文期刊>International Journal of Rock Mechanics and Mining Sciences >A new rock cuttability index for predicting key performance indicators of surface miners
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A new rock cuttability index for predicting key performance indicators of surface miners

机译:一种新的岩石可切割性指数,用于预测露天矿山的关键性能指标

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The key performance indicators of surface miners, namely production, diesel and pick consumption were considered for the overall operational and economic evaluation of surface miner deployment in Indian mines, The study was conducted in three coal and three limestone mines located in different parts of India. Seven models of surface miner of various makes were studied. The performance of surface miners can be judged better by utilizing the combination of intact rock and rock mass parameters, available machine specifications and operating conditions. Therefore, performance predictive models were developed by considering all these relevant parameters to estimate production, diesel and pick consumption per 1000 t using the rock cuttability index of surface miner. These developed statistical models were validated for different surface miners under varied geotechnical conditions. The study also covers the development of a rock cuttability index nomogram for quick estimation of production. The rock cuttability index values provide a better possibility to determine the machine performance as each parameter can be imitated. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在印度矿山部署露天矿工的总体运营和经济评估中,考虑了露天矿工的关键性能指标,即生产,柴油和采摘量。该研究是在印度不同地区的三个煤矿和三个石灰石矿山中进行的。研究了七种不同型号的露天采矿机的模型。通过结合使用完整的岩石和岩体参数,可用的机器规格和操作条件,可以更好地判断露天采矿机的性能。因此,通过考虑所有这些相关参数来开发性能预测模型,以使用露天采矿机的岩石可切割性指标估算每1000吨的产量,柴油和采摘量。这些开发的统计模型已在不同的岩土条件下针对不同的露天采矿者进行了验证。该研究还涵盖了岩石可切割性指数列线图的开发,以快速估算产量。岩石可切割性指标值可以更好地确定机​​器性能,因为可以模拟每个参数。 (C)2015 Elsevier Ltd.保留所有权利。

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