IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i1p437-d475232.html
   My bibliography  Save this article

Influence of Design Parameters of Idler Bearing Units on the Energy Consumption of a Belt Conveyor

Author

Listed:
  • Piotr Kulinowski

    (Department of Machinery Engineering and Transport, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, 30-059 Cracow, Poland)

  • Piotr Kasza

    (Department of Machinery Engineering and Transport, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, 30-059 Cracow, Poland)

  • Jacek Zarzycki

    (Department of Machinery Engineering and Transport, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, 30-059 Cracow, Poland)

Abstract

This publication presents the results of laboratory tests of idler rolling resistance under operational loads. Operational loads are understood as radial and axial forces acting on the idler, with values corresponding to those that occur in the conditions of its operation in copper ore mines. Knowing the rolling resistance is important not only at the stage of conveyor design, selection of the drive power or calculations of the necessary belt strength, but also when improving and searching for new idler design solutions. The idlers adopted for this research were differentiated in terms of bearings and idler axial clearance. The investigations were carried out on a unique test stand designed and built by the authors. The construction of the stand enables simulating operational loads while measuring the rolling resistance. The test rig measures idler bearing losses and rolling drag, not belt indentation rolling resistance. The object of the research were ø133×465 idlers, which are most commonly used in the raw materials industry. The results show the possibility of reducing the belt conveyor energy consumption by appropriate selection of the design features of the idler bearing unit.

Suggested Citation

  • Piotr Kulinowski & Piotr Kasza & Jacek Zarzycki, 2021. "Influence of Design Parameters of Idler Bearing Units on the Energy Consumption of a Belt Conveyor," Sustainability, MDPI, vol. 13(1), pages 1-13, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:1:p:437-:d:475232
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/1/437/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/1/437/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Shirong & Xia, Xiaohua, 2011. "Modeling and energy efficiency optimization of belt conveyors," Applied Energy, Elsevier, vol. 88(9), pages 3061-3071.
    2. Tebello Mathaba & Xiaohua Xia, 2015. "A Parametric Energy Model for Energy Management of Long Belt Conveyors," Energies, MDPI, vol. 8(12), pages 1-19, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Piotr Kulinowski & Piotr Kasza & Jacek Zarzycki, 2022. "Methods of Testing of Roller Rotational Resistance in Aspect of Energy Consumption of a Belt Conveyor," Energies, MDPI, vol. 16(1), pages 1-12, December.
    2. Mirosław Bajda & Monika Hardygóra, 2021. "Analysis of the Influence of the Type of Belt on the Energy Consumption of Transport Processes in a Belt Conveyor," Energies, MDPI, vol. 14(19), pages 1-17, September.
    3. Hamid Shiri & Jacek Wodecki & Bartłomiej Ziętek & Radosław Zimroz, 2021. "Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler," Energies, MDPI, vol. 14(22), pages 1-17, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pihnastyi, Oleh & Khodusov, Valery & Kotova, Anna, 2022. "The problem of combined optimal load flow control of main conveyor line," MPRA Paper 113787, University Library of Munich, Germany, revised 05 Jun 2022.
    2. He, Daijie & Pang, Yusong & Lodewijks, Gabriel, 2017. "Green operations of belt conveyors by means of speed control," Applied Energy, Elsevier, vol. 188(C), pages 330-341.
    3. Piotr Kulinowski & Piotr Kasza & Jacek Zarzycki, 2022. "Methods of Testing of Roller Rotational Resistance in Aspect of Energy Consumption of a Belt Conveyor," Energies, MDPI, vol. 16(1), pages 1-12, December.
    4. Chunyu Yang & Jinhao Liu & Heng Li & Linna Zhou, 2018. "Energy Modeling and Parameter Identification of Dual-Motor-Driven Belt Conveyors without Speed Sensors," Energies, MDPI, vol. 11(12), pages 1-17, November.
    5. Mirosław Bajda & Monika Hardygóra, 2021. "Analysis of the Influence of the Type of Belt on the Energy Consumption of Transport Processes in a Belt Conveyor," Energies, MDPI, vol. 14(19), pages 1-17, September.
    6. Pihnastyi, Oleh & Kozhevnikov, Georgii, 2020. "Control of a Conveyor Based on a Neural Network," MPRA Paper 111950, University Library of Munich, Germany, revised 09 Oct 2021.
    7. Du Plessis, Gideon Edgar & Liebenberg, Leon & Mathews, Edward Henry, 2013. "The use of variable speed drives for cost-effective energy savings in South African mine cooling systems," Applied Energy, Elsevier, vol. 111(C), pages 16-27.
    8. Pihnastyi, Oleh & Khodusov, Valery, 2020. "Neural model of conveyor type transport system," MPRA Paper 101527, University Library of Munich, Germany, revised 01 May 2020.
    9. Tebello Mathaba & Xiaohua Xia, 2015. "A Parametric Energy Model for Energy Management of Long Belt Conveyors," Energies, MDPI, vol. 8(12), pages 1-19, December.
    10. Mu, Yunfei & Yao, Taiang & Jia, Hongjie & Yu, Xiaodan & Zhao, Bo & Zhang, Xuesong & Ni, Chouwei & Du, Lijia, 2020. "Optimal scheduling method for belt conveyor system in coal mine considering silo virtual energy storage," Applied Energy, Elsevier, vol. 275(C).
    11. Zhang, Lijun & Chennells, Michael & Xia, Xiaohua, 2018. "A power dispatch model for a ferrochrome plant heat recovery cogeneration system," Applied Energy, Elsevier, vol. 227(C), pages 180-189.
    12. Zhang, Shirong & Mao, Wei, 2017. "Optimal operation of coal conveying systems assembled with crushers using model predictive control methodology," Applied Energy, Elsevier, vol. 198(C), pages 65-76.
    13. Pihnastyi, Oleh & Kozhevnikov, Georgii & Ivanovska, Olha, 2022. "Maxwell-Element Model for Describing Conveyor Belt Stresses," MPRA Paper 112560, University Library of Munich, Germany, revised 01 Jan 2022.
    14. Muller, C.J. & Craig, I.K., 2016. "Energy reduction for a dual circuit cooling water system using advanced regulatory control," Applied Energy, Elsevier, vol. 171(C), pages 287-295.
    15. Numbi, B.P. & Xia, X., 2016. "Optimal energy control of a crushing process based on vertical shaft impactor," Applied Energy, Elsevier, vol. 162(C), pages 1653-1661.
    16. Witold Kawalec & Natalia Suchorab & Martyna Konieczna-Fuławka & Robert Król, 2020. "Specific Energy Consumption of a Belt Conveyor System in a Continuous Surface Mine," Energies, MDPI, vol. 13(19), pages 1-10, October.
    17. Prince, & Hati, Ananda Shankar, 2021. "A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    18. Paweł Bogacz & Łukasz Cieślik & Dawid Osowski & Paweł Kochaj, 2022. "Analysis of the Scope for Reducing the Level of Energy Consumption of Crew Transport in an Underground Mining Plant Using a Conveyor Belt System Mining Plant," Energies, MDPI, vol. 15(20), pages 1-16, October.
    19. Numbi, B.P. & Xia, X., 2015. "Systems optimization model for energy management of a parallel HPGR crushing process," Applied Energy, Elsevier, vol. 149(C), pages 133-147.
    20. Huang, Hongxu & Li, Zhengmao & Beng Gooi, Hoay & Qiu, Haifeng & Zhang, Xiaotong & Lv, Chaoxian & Liang, Rui & Gong, Dunwei, 2023. "Distributionally robust energy-transportation coordination in coal mine integrated energy systems," Applied Energy, Elsevier, vol. 333(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:1:p:437-:d:475232. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.