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Original Article

Artificial neural network modeling for predicting the screening efficiency of coal with varying moisture content in the vibrating screen

ORCID Icon, , , , &
Pages 2656-2674 | Received 18 Jun 2020, Accepted 31 Dec 2020, Published online: 16 Jan 2021

References

  • Hanumanthappa, H., H. Vardhan, M. G. Raj, M. Kaza, R. Sah, and B. K. Shanmugam. 2020a. A comparative study on a newly designed ball mill and the conventional ball mill performance with respect to the particle size distribution and recirculating load at the discharge end. Minerals Engineering 145:106091. doi:10.1016/j.mineng.2019.106091.
  • Hanumanthappa, H., H. Vardhan, M. G. Raj, M. Kaza, R. Sah, and B. K. Shanmugam. 2020c. Estimation of grinding time for desired particle size distribution and for hematite liberation based on ore retention time in the mill. Mining, Metallurgy & Exploration 37 (2):481–92. doi:10.1007/s42461-019-00167-8.
  • Hanumanthappa, H., H. Vardhan, M. G. Raj, M. Kaza, R. Sah, B. K. Shanmugam, and P. Suribabu. 2020b. Investigation on iron ore grinding based on particle size distribution and liberation. Transactions of the Indian Institute of Metals 73 (7):1853–66. doi:10.1007/s12666-020-01999-5.
  • Harish, H., H. Vardhan, M. G. Raj, M. Kaza, R. Sah, A. Sinha, and S. B. Kumar. 2020. Investigation of iron ores based on the bond grindability test. Proceedings of the 2nd International Conference on Emerging Research in Civil, Aeronautical and Mechanical Engineering (ERCAM)-2019,  25–26 July 2019, Nitte Meenakshi Institute of Technology, Bangalore, India.
  • Houwelingen, J. A. V., and T. P. R. de Jong. 2004. Dry cleaning of coal: Review. Fundamentals, and opportunities, Geologica Belgica [En ligne]. Proceedings of the 5th European Coal Conference 7 (3–4):335–43. https://popups.uliege.be:443/1374-8505/index.php?id=460.
  • Jiang, H., Y. Zhao, C. Duan, X. Yang, C. Liu, J. Wu, J. Qiao, and H. Diao. 2017a. Kinematics of variable-amplitude screen and analysis of particle behavior during the process of coal screening. Powder Technology 306:88–95. doi:10.1016/j.powtec.2016.10.076.
  • Jiang, H., Y. Zhao, C. Duan, C. Zhang, H. Diao, Z. Wang, and X. Fan. 2017b. Properties of technological factors on screening performance of coal in an equal-thickness screen with variable amplitude. Fuel 188:511–21. doi:10.1016/j.fuel.2016.10.071.
  • Jorjani, E., H. Asadollahi Poorali, A. Sam, S. Chehreh Chelgani, S. Mesroghli, and M. R. Shayestehfar. 2009. Prediction of coal response to froth flotation based on coal analysis using regression and artificial neural network. Minerals Engineering 22 (11):970–76. doi:10.1016/j.mineng.2009.03.003.
  • Jorjani, E., S. Mesroghli, and S. Chehreh Chelgani. 2008. Prediction of operational parameters effect on coal flotation using artificial neural network. Journal of University of Science and Technology Beijing, Mineral, Metallurgy, Material 15 (5):528–33. doi:10.1016/S1005-8850(08)60099-7.
  • Kalyani, V. K., T. Gouri Charan, D. D. Haldar, A. Sinha, and N. Suresh. 2008. Coal-fine beneficiation studies of a bench-scale water-only cyclone using artificial neural network. International Journal of Coal Preparation and Utilization 28 (2):94–114. doi:10.1080/19392690802069918.
  • Kalyani, V. K., S. C. Pallavika, T. Gouri Charan, D. D. Haldar, K. P. Kamal, Y. P. Badhe, S. S. Tambe, and B. D. Kulkarni. 2007. Study of a laboratory-scale froth flotation process using artificial neural networks. Mineral Processing and Extractive Metallurgy Review 29 (2):130–42. doi:10.1080/08827500701421912.
  • Khodakarami, M., O. Molatlhegi, and L. Alagha. 2019. Evaluation of ash and coal response to hybrid polymeric nanoparticles in flotation process: data analysis using self-learning neural network. International Journal of Coal Preparation and Utilization 39 (4):199–218. doi:10.1080/19392699.2017.1308927.
  • Kumar, B. S., M. Harsha Vardhan, G. Raj, M. Kaza, R. Sah, and H. Harish. 2020. The screening efficiency of linear vibrating screen - An experimental investigation. Proceedings of the 2nd International Conference on Emerging Research in Civil, Aeronautical and Mechanical Engineering (ERCAM)-2019,  25–26 July 2019, Nitte Meenakshi Institute of Technology, Bangalore, India.
  • Kumar, B. S., H. Vardhan, M. G. Raj, M. Kaza, R. Sah, and H. Harish. 2018. Shortcomings of vibrating screen and corrective measures: A review. International Conference on Emerging Trends in Engineering (ICETE) 2 (43):345–51. doi:10.1007/978-3-030-24314-2.
  • Lopamudra, P., and T. S. Kumar. 2014. Performance prediction of gravity concentrator by using artificial neural network-a case study. International Journal of Mining Science and Technology 24 (4):461–65. doi:10.1016/j.ijmst.2014.05.007.
  • Özer, M., O. M. Basha, and B. Morsi. 2017. Coal-agglomeration processes: A review. International Journal of Coal Preparation and Utilization 37 (3):131–67. doi:10.1080/19392699.2016.1142443.
  • Panda, L., A. K. Sahoo, A. Tripathy, S. K. Biswal, and A. K. Sahu. 2012. Application of artificial neural network to study the performance of jig for beneficiation of non-coking coal. Fuel 97:151–56. doi:10.1016/j.fuel.2012.02.018.
  • Sahu, A. K., S. K. Biswal, and A. Parida. 2009. Development of air dense medium fluidized bed technology for dry beneficiation of coal – A review. International Journal of Coal Preparation and Utilization 29 (4):216–41. doi:10.1080/19392690903113847.
  • Sahu, D., R. C. Chaurasia, and N. Suresh. 2019. Statistical studies on high ash Indian coal crushed to (−3 mm) using 76 mm dense medium cyclone. International Journal of Coal Preparation and Utilization 1–21. doi:10.1080/19392699.2019.1605987.
  • Shanmugam, B. K., M. Kaza, H. Vardhan, M. G. Raj, R. Sah, A. R. Choudhary, N. Onkarappa, and N. Venkategouda, 2018. Material handling system for screening or feeding materials with high screening efficiency and energy efficiency. Publication Number 201821048990, Publication Date 26- 06-2020.
  • Shanmugam, B. K., H. Vardhan, M. G. Raj, M. Kaza, R. Sah, and H. Harish. 2019a. Evaluation of a new vibrating screen for dry screening fine coal with different moisture contents. International Journal of Coal Preparation and Utilization 1–10. doi:10.1080/19392699.2019.1652170.
  • Shanmugam, B. K., H. Vardhan, M. G. Raj, M. Kaza, R. Sah, and H. Harish. 2020. Experimentation and statistical prediction of screening performance of coal with different moisture content in the vibrating screen. International Journal of Coal Preparation and Utilization 1–14. doi:10.1080/19392699.2020.1767606.
  • Shanmugam, B. K., H. Vardhan, M. G. Raj, M. Kaza, R. Sah., and H. Harish. 2019b. Screening performance of coal of different size fractions with variation in design and operational flexibilities of the new screening machine. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 1–9. doi:10.1080/19392699.2019.1652170.
  • Wang, Z., L. Peng, C. Zhang, L. Qi, C. Liu, and Y. Zhao. 2019. Research on impact characteristics of screening coals on vibrating screen based on discrete-finite element method. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 1–14. doi:10.1080/15567036.2019.1604905.
  • Wodzinski, P. 2003. Screening of fine granular material. Coal Preparation 23 (4):183–211. doi:10.1080/07349340302258.
  • Zhao, Y., L. Jiongtian, W. Xianyong, L. Zhenfu, C. Qingru, and S. Shulei. 2011. New progress in the processing and efficient utilization of coal. Mining Science and Technology (China) 21 (4):547–52. doi:10.1016/j.mstc.2011.06.015.
  • Zhou, J., Y. Liu, C. Du, and F. Wang. 2016. Experimental study on crushing characteristic of coal and gangue under impact load. International Journal of Coal Preparation and Utilization 36 (5):272–82. doi:10.1080/19392699.2015.1114478.
  • Zhovtiuk, G. V. 1988. Wet sizing of coals on stationary screens. Coal Preparation 5 (3–4):229–41. doi:10.1080/07349348808945567.

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