1. Experimental investigations on thermal behaviour during pick-rock interaction and optimisation of operating parameters of surface miner
- Author
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Kumar C., Kumaraswamidhas L. A., Murthy V. M. S. R., Prakash A., Kumar C., Kumaraswamidhas L. A., Murthy V. M. S. R., and Prakash A.
- Abstract
A field study is presented, conducted at Sonepur Bazari open-cast coal mine, West Bengal, India, to determine the machine operating parameters, namely depth of cut (DOC), cutting speed (CS) and drum speed (DS), and rock parameters, i.e. compressive strength, tensile strength, Poisson’s ratio and Young’s modulus, for investigating thermal behaviour of conical picks during cutting by a 2.2-m-drum-width surface miner. Using an experimental design based on a Taguchi L16 orthogonal array, the cutting performance of the surface miner is studied with respect to the machine operating parameters. The results indicate that the experimental cutting-temperature value is 277 degrees C for the optimum combination of machine operating parameters, DOC of 0.24 m, CS of 18 m/min and DS of 80 rpm, which provides optimal cutting-power utilisation, maximum production value and minimum pick consumption. Analysis of variance (ANOVA) shows that the contributions of DOC, CS and DS to cutting-pick temperature are 53.37, 44.70 and 1.93%, respectively. The development of empirical models using the Taguchi method, multiple linear regression (MLR) and artificial neural network (ANN) to predict the optimal temperature for cutting picks is described. In confirmation tests, the optimum experimental temperature (277 degrees C) is compared to the predicted values obtained by the Taguchi method (276.68 degrees C), MLR (274.90 degrees C) and ANN (270.93 degrees C) and the errors between the experimental and predicted temperatures are 0.12, 0.75 and 2.19%, respectively., A field study is presented, conducted at Sonepur Bazari open-cast coal mine, West Bengal, India, to determine the machine operating parameters, namely depth of cut (DOC), cutting speed (CS) and drum speed (DS), and rock parameters, i.e. compressive strength, tensile strength, Poisson’s ratio and Young’s modulus, for investigating thermal behaviour of conical picks during cutting by a 2.2-m-drum-width surface miner. Using an experimental design based on a Taguchi L16 orthogonal array, the cutting performance of the surface miner is studied with respect to the machine operating parameters. The results indicate that the experimental cutting-temperature value is 277 degrees C for the optimum combination of machine operating parameters, DOC of 0.24 m, CS of 18 m/min and DS of 80 rpm, which provides optimal cutting-power utilisation, maximum production value and minimum pick consumption. Analysis of variance (ANOVA) shows that the contributions of DOC, CS and DS to cutting-pick temperature are 53.37, 44.70 and 1.93%, respectively. The development of empirical models using the Taguchi method, multiple linear regression (MLR) and artificial neural network (ANN) to predict the optimal temperature for cutting picks is described. In confirmation tests, the optimum experimental temperature (277 degrees C) is compared to the predicted values obtained by the Taguchi method (276.68 degrees C), MLR (274.90 degrees C) and ANN (270.93 degrees C) and the errors between the experimental and predicted temperatures are 0.12, 0.75 and 2.19%, respectively.
- Published
- 2020