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Optimisation of the Magnetic Circuit of a Measuring Head for Diagnostics of Steel-Polyurethane Load-Carrying Belts Using Numerical Methods

Author

Listed:
  • Hubert Ruta

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

  • Tomasz Krakowski

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

  • Paweł Lonkwic

    (The State School of Higher Education, The Institute of Technical Sciences and Aviation, Pocztowa Street 54, 22-100 Chełm, Poland)

Abstract

The paper describes the process of a prototype head optimisation for magnetic diagnostics of steel-polyurethane load-carrying belts. The prototype, validated on a number of cranes, was subject to an improvement and optimisation attempt using numerical analysis of magnetic field distribution in the magnetic circuit, tested load-carrying belt, and environment. The analysis was carried out in the ANSYS environment using PDS—Probabilistic Design System tools (DOE—Design of Experiment). Taking the dimensions of individual elements of the magnetic circuit, material densities, and magnetic material properties as the input data, the magnetic circuit was optimised with respect to metrological properties as well as mass and size criteria. Based on the analyses carried out and the results obtained, the head design was modernised, which involved changing the geometry of elements forming the magnetic circuit. Based on observations made during tests of the prototype version of the device performed on real objects, several improvements were also proposed, consisting of the replacement of selected components with elements printed in the FDM technology. The correctness of the performed numerical analyses was verified by comparing the measured and calculated values of the total magnetic field induction in the defined plane of the magnetic circuit. The prototype versions of heads before and after modernisation were subject to comparative tests. Under laboratory conditions, both versions of heads were used to diagnose the steel-polyurethane load-carrying belts with modelled damages. The obtained test results and their statistical characteristics were analysed in detail.

Suggested Citation

  • Hubert Ruta & Tomasz Krakowski & Paweł Lonkwic, 2022. "Optimisation of the Magnetic Circuit of a Measuring Head for Diagnostics of Steel-Polyurethane Load-Carrying Belts Using Numerical Methods," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2711-:d:759189
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    References listed on IDEAS

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    1. Dulebenets, Maxim A., 2019. "A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility," International Journal of Production Economics, Elsevier, vol. 212(C), pages 236-258.
    2. Gallardo-Saavedra, Sara & Hernández-Callejo, Luis & Alonso-García, María del Carmen & Santos, José Domingo & Morales-Aragonés, José Ignacio & Alonso-Gómez, Víctor & Moretón-Fernández, Ángel & González, 2020. "Nondestructive characterization of solar PV cells defects by means of electroluminescence, infrared thermography, I–V curves and visual tests: Experimental study and comparison," Energy, Elsevier, vol. 205(C).
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    Cited by:

    1. Paweł Mazurek & Maciej Roskosz & Jerzy Kwaśniewski & Jianbo Wu & Krzysztof Schabowicz, 2022. "Detecting Discontinuities in Steel Wire Ropes of Personal Lifts Based on the Analysis of Their Residual Magnetic Field," Sustainability, MDPI, vol. 14(21), pages 1-12, November.

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