Citation :

Om Prakash Singh, P Y Dhekne, Manoj Pradhan, Romil Mishra, "Stepwise Multiple Regression Analysis for Development of a Model to Predict the Performance of Surface Miners," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 1, pp. 259-274, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I1P120

Abstract

The present study puts forward the model formulations of Stepwise Multiple Regression Analysis for obtaining the value of Normalized Production Rate and Pick consumption per 1000t of surface miners operating in opencast coal mines of Mahanadi Coalfields Limited. A total of 143 data entries have been compiled to develop models. The entries contain Uniaxial Compressive Strength Index, Cerchar Abrasivity Index, In-situ P-Wave Velocity, and Normalized Production Rate and Pick Consumption per 1000t. Two models have been formed independently to determine the Normalized Production Rate and Pick Consumption per 1000t. The two models have been developed and generated with the help of Minitab. The models have been formed with the forward selection and backward elimination method of stepwise regression techniques. The Student’s T-tests have been carried out on models to determine which of the predictors are most significant. The results also reveal that the accuracy of models formed using statistical models is high and provide easy accessibility to predisposed engineers of surface miners to obtain estimations of Normalized Production Rate and Pick Consumption per 1000t. The models formed with statistical techniques provided appropriate results and can be effectively employed in opencast coal mines with similar geotechnical conditions.

Keywords

Cutting Performance, PickConsumption, Opencast Coal Mines, Stepwise Multiple Regression Analysis, Surface Miner.

References

[1] Prakash Amar, Murthy Vemavarapu Mallika Sita Ramachandra, and Singh Kalendra Bahadur, “Rock Excavation using Surface Miners: An Overview of Some Design and Operational Aspects,” International Journal of Mining Science and Technology, vol. 23, no. 1, pp. 33-40, 2013.
[CrossRef] [Google Scholar] [Publisher Link]

[2] A.K. Ghose, “New Technology for Surface Mining in the 21^st Century-Emerging Role for Surface Miners,” Journal of Mines, Metals and Fuels, vol. 56, no. 3, pp. 41-43, 2008.
[Google Scholar] [Publisher Link]

[3] Chiara Origliasso, Marilena Cardu, and Vladislav Kecojevic, “Surface Miners: Evaluation of the Production Rate and Cutting Performance based on Rock Properties and Specific Energy,” Rock Mechanics and Rock Engineering, vol. 47, no. 2, pp. 757-770, 2014.
[CrossRef] [Google Scholar] [Publisher Link]

[4] Prakash Amar, Murthy Vemavarapu Mallika Sita Ramachandra, and Singh Kalendra Bahadur, “Performance Simulaton of Surface Miners with Varied Machine Parameters and Rock Conditions: Some Investigations,” Journal of Geology and Mining Research, vol. 5, no. 1, pp. 12-22, 2013.
[CrossRef] [Google Scholar] [Publisher Link]

[5] Lvinash Prasad, Sandeep Prasad, and G.K. Pradhan, “Performance Appraisal of Surface Miner in Opencast Mines: A Case Study,” The Indiln Mining & Engineering Journal.
[Google Scholar]

[6] Amar Prakash, and V.M.S.R. Murthy, “Hierarchy of Parameters Influencing Cutting Performance of Surface Miner through Artificial Intelligence and Statistical Methods,” Current Science, vol. 112, no. 6, pp. 1242-1249, 2017.
[CrossRef] [Google Scholar] [Publisher Link]

[7] A. Singh et al., “Failure Analysis and Performance Improvement using Surface Miner on Field Breakdown Data: A Case Study,” Industrial Engineering Journal, vol. 12, no. 9, pp. 1-31, 2019.
[Google Scholar]

[8] Amar Prakash, and Vemavarapu M.S.R. Murthy, “Prediction of Cutting Speed of Surface Miner for Coal and Limestone Production under Varied Rock Mass Conditions,” Journal of the Geological Society of India, vol. 100, no. 8, pp. 1122-1128, 2024.
[CrossRef] [Google Scholar] [Publisher Link]

[9] Kaushik Dey, and A.K. Ghose, “Review of Cuttability Indices and A New Rockmass Classification Approach for Selection of Surface Miners,” Rock Mechanics and Rock Engineering, vol. 44, no. 5, pp. 601-611, 2011.
[CrossRef] [Google Scholar] [Publisher Link]

[10] Yong Sun, Xing Sheng Li, and Wen Shao, “Influence of Cutting Parameters and Interactions on the Depth of Cut in Continuous Mining Operation,” Advanced Materials Research, vol. 538-541, pp. 1422-1428, 2012.
[CrossRef] [Google Scholar] [Publisher Link]

[11] V. Raghavan, and Ch.S.N. Murthy, “Prediction of Cuttability from Rock Cutting Resistance,” Journal of the Southern African Institute of Mining and Metallurgy, vol. 118, no. 3, pp. 321-329, 2018.
[CrossRef] [Google Scholar] [Publisher Link]

[12] Wirtgen, Wirtgen Surface Miner, 2022. [Online]. Available: https://www.wirtgen-group.com/ocs/en-in/wirtgen/surface-miners-and-cross-application-miners-74-c/

[13] K. Dey, and P. Sen, “Continuous Surface Miner in Mining Limestone and Coal in India - A Comparative Study,” Journal of Mines, Metals and Fuels, vol. 56, no. 3-4, pp. 51-54, 2008.
[Google Scholar] [Publisher Link]

[14] Nilesh Pratap Singh et al., “Impact of Coal Quality on Longevity of Picks of Surface Miner-A Case Study,” International Conference on Deep Excavation, Energy Resources and Production, 2017.
[Google Scholar]

[15] Nilesh Pratap Singh et al., “An Investigation into Statistical Correlations between Coal Production and Key Productivity Indicators of Surface Miners in Indian Opencast Mines,” Mining, Metallurgy & Exploration, vol. 40, no. 1, pp. 389-402, 2023.
[CrossRef] [Google Scholar] [Publisher Link]

[16] Amar Prakash, Vemavarapu Mallika Sita Ramachandra Murthy, and Kalendra Bahadur Singh, “A New Rock Cuttability Index for Predicting Key Performance Indicators of Surface Miners,” International Journal of Rock Mechanics and Mining Sciences, vol. 77, pp. 339-347, 2015.
[CrossRef] [Google Scholar] [Publisher Link]

[17] Kaushik Dey, and Jayanta Bhattacharya, “Operation of Surface Miner: Retrospect of a Decade Journey in India,” Procedia Engineering, vol. 46, pp. 97-104, 2012.
[CrossRef] [Google Scholar] [Publisher Link]

[18] Xiang Wang, and Okan Su, “Specific Energy Analysis of Rock Cutting based on Fracture Mechanics: A Case Study using a Conical Pick on Sandstone,” Engineering Fracture Mechanics, vol. 213, pp. 197-205, 2019.
[CrossRef] [Google Scholar] [Publisher Link]

[19] Jian Yang et al., “Mechanical Property and Thermal Damage Factor of Limestone at High Temperature,” International Journal of Rock Mechanics and Mining Sciences, vol. 117, pp. 11-19, 2019.
[CrossRef] [Google Scholar] [Publisher Link]

[20] C. Kumar et al., “Experimental Investigations on Thermal Behavior during Pick-Rock Interaction and Optimization of Operating Parameters of Surface Miner,” International Journal of Rock Mechanics and Mining Sciences, vol. 133, pp. 1-29, 2020.
[CrossRef] [Google Scholar] [Publisher Link]

[21] Zong-Xian Zhang, and Finn Ouchterlony, “Energy Requirement for Rock Breakage in Laboratory Experiments and Engineering Operations: A Review,” Rock Mechanics and Rock Engineering, vol. 55, no. 2, pp. 629-667, 2022.
[CrossRef] [Google Scholar] [Publisher Link]

[22] Amid Morshedlou, Jamal Rostami, and Omid Moradian, “Estimation of Cutting Forces Acting on Conical Cutters Based on Rock Properties and the Contact Area Between Cutter Tip and Rock,” Rock Mechanics and Rock Engineering, vol. 57, no. 12, pp. 10307-10328, 2024.
[CrossRef] [Google Scholar] [Publisher Link]

[23] Guochao Zhao et al., “Experimental and Numerical Evaluation for Drum Dynamic Reliability under Extremely Complex Working Conditions,” Scientific Reports, vol. 14, no. 1, pp. 1-14, 2024.
[CrossRef] [Google Scholar] [Publisher Link]

[24] V.M.S.R. Murthy et al., “Development of a Cuttability Index of Surface Miner for Performance Prediction in Different Geomining Conditions,” International Symposium on Rock Mechanics and Geo-Environment in Mining and Allied Industries, Banaras Hindu University, Varanasi, pp. 12-14, 2009.
[Google Scholar]