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RIPPER PRODUCTION PREDICTION FOR LATERITE EXCAVATION IN IRON ORE MINES

  • MINERAL MINING TECHNOLOGY
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Journal of Mining Science Aims and scope

Abstract

The mining of iron ore, an essential raw material for iron and steel industry, is of prime importance among all mining activities undertaken by any country. Therefore it is important that the iron ore mining should be environment-friendly and sustainable. Ripper Dozer combination is one of the most commonly used excavation methods in Iron ore mines of Goa because of the presence of soft and friable rock mass and also it can bring the mining project more productivity, accuracy, safety and the additional option of selective mining. Improper selection of ripper dozer and unscientific deployment can lead to high production cost. So, performance prediction is an important issue for successful ripper application which deals with exposed rock mass properties and ripper machine parameters. Ripper production prediction using multiple linear regression analysis (MLR) and artificial neural network (ANN) is performed to estimate ripper production in the lateritic rock formation.

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Authors and Affiliations

  1. Mining Engineering Department, College of Technology and Engineering, 313001, Udaipur, Rajasthan, India

    Akhil Avchar

  2. Mining Engineering Department, IIT (ISM), 826001, Dhanbad, India

    Bhanwar S. Choudhary

Authors
  1. Akhil Avchar
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  2. Bhanwar S. Choudhary
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Correspondence to Akhil Avchar or Bhanwar S. Choudhary.

Additional information

Translated from Fiziko-Tekhnicheskie Problemy Razrabotki Poleznykh Iskopaemykh, 2021, No. 1, pp. 73–84. https://doi.org/10.15372/FTPRPI20210108.

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Avchar, A., Choudhary, B.S. RIPPER PRODUCTION PREDICTION FOR LATERITE EXCAVATION IN IRON ORE MINES. J Min Sci 57, 66–75 (2021). https://doi.org/10.1134/S1062739121010087

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  • DOI: https://doi.org/10.1134/S1062739121010087

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