Experimental research on the determination of the coefficient of sliding wear under iron ore handling conditions

G. Chen, Yueting Liu, Gabri Lodewijks, Dingena Schott

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
46 Downloads (Pure)


The handling of iron ore bulk solids maintains an increasing trend due to economic development. Because iron ore particles have hard composites and irregular shapes, the bulk solids handling equipment surface can suffer from severe sliding wear. Prediction of equipment surface wear volume is beneficial to the efficient maintenance of worn areas. Archard’s equation provides a theoretical solution to predict wear volume. To use Archard’s equation, the coefficient of sliding wear must be determined. To our best knowledge, the coefficient of sliding wear for iron ore handling conditions has not yet been determined. In this research, using a pin-on-disk tribometer, the coefficients of sliding wear for both Sishen particles and mild steel are determined with regard to iron ore handling conditions. Both naturally irregular and spherical shapes of particles are used to estimate average values of wear rate. Moreover, the hardness and inner structures of Sishen particles are examined, which adds the evidence of the interpretation of wear results. It is concluded that the coefficients of sliding wear can vary largely for both Sishen particle and mild steel. The wear rate decreases from transient- to steady-state. The average coefficient of sliding wear is capable of predicting wear with respect to long distances at the steady-state. Two types of sliding friction are distinguished. In addition, it is found that the temperature rise of the friction pairs has negligible influence on wear rate.
Original languageEnglish
Pages (from-to)378-390
JournalTribology in Industry
Issue number3
Publication statusPublished - 2017


  • Particle wear
  • Hardness
  • Pin-on-disk
  • Sliding friction
  • Contact temperature


Dive into the research topics of 'Experimental research on the determination of the coefficient of sliding wear under iron ore handling conditions'. Together they form a unique fingerprint.

Cite this