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首页> 外文期刊>Journal Of The South African Institute Of Mining & Metallurgy >Prediction of cuttability from rock cutting resistance
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Prediction of cuttability from rock cutting resistance

机译：从岩石切削抗力预测可切割性

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摘要

The objective of this investigation is to predict rock cuttability from measurements of rock cutting resistance (RCR) during the cutting process and to study the influence of mechanical properties on the depth of cut achieved. Point attack bits with angles of 45°, 50°, 55°, and 65° were used and the experiments were conducted at attack angles of 45°, 55°, and 65°, keeping the rotation speed constant while varying the cutting force and torque during cutting. The depth of each cut was measured and the cut material collected and weighed. The experimental data were compared using an artificial neural network (ANN) and finite element method (FEM) to predict RCR for the measured depth of cut. The results reveal that a 55° attack angle produced the optimum depth of cut.
机译：该研究的目的是在切割过程中预测来自岩石切削抗性（RCR）的测量的岩石切割性，并研究机械性能对切削深度的影响。 使用角度为45°，50°，55°和65°的点攻击位，实验在45°，55°和65°的攻击角进行，保持转速恒定，同时改变切割力和 切割期间的扭矩。 测量每个切口的深度，并收集和称重切割材料。 使用人工神经网络（ANN）和有限元方法（FEM）进行比较实验数据，以预测测量的切割深度的RCR。 结果表明，55°攻击角产生最佳切割深度。

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