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Dry Friction Analysis in Doped Surface by Network Simulation Method

Author

Listed:
  • Joaquín Solano

    (Department of Thermal and Fluid Engineering, Faculty of Industrial Engineering, Politechnic University of Cartagena, 30202 Cartagena, Spain
    These authors contributed equally to this work.)

  • Francisco Balibrea

    (Department of Mathematics, Faculty of Mathematics, University of Murcia, 30100 Murcia, Spain
    These authors contributed equally to this work.)

  • José Andrés Moreno

    (Department of Mechanical Engineering, Materials and Manufacturing, Faculty of Industrial Engineering, Politechnic University of Cartagena, 30202 Cartagena, Spain
    These authors contributed equally to this work.)

  • Fulgencio Marín

    (Department of Automation, Electrical Engineering and Electronic Technology, Faculty of Industrial Engineering, Politechnic University of Cartagena, 30202 Cartagena, Spain
    These authors contributed equally to this work.)

Abstract

Dry friction cannot be understood on a macroscopic scale without knowing what happens at the contact of sliding surfaces on an atomic scale. Tests on this scale are very expensive and very sensitive to the effects of contamination or inaccurate fittings. On the other hand, the sample dimensions are small because of the requirements of the test equipment, which makes it difficult to generalise the conclusions drawn. This work reviews the models used to analyse friction processes, and proposes the application of one of the models, the Frenkel–Kontorova–Tomlinson (FKT) model, to study the dry frictional behaviour of doped surfaces. The study shows that for concreted types of doped pattern, the behaviour can change from chaotic to periodic depending on the stiffness, which in turn are associated with temperature.

Suggested Citation

  • Joaquín Solano & Francisco Balibrea & José Andrés Moreno & Fulgencio Marín, 2023. "Dry Friction Analysis in Doped Surface by Network Simulation Method," Mathematics, MDPI, vol. 11(6), pages 1-14, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1341-:d:1092932
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