Skip to main content
Log in

Application of Multifractal Spectrum Calculation Program in Rubber Wear Under High Temperature

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Due to the complexity of the rubber wear process, the research work of the wear mechanism is limited to normal temperature, and the mechanism of high temperature wear has not been established. The temperature has great influence on the appearance of wear and the change of the surface characteristics of wear. This paper presents the wear surface morphology of rubber materials at different temperatures. The two-dimensional gray level images of the rubber surface are captured by a 3D measuring laser microscope and are converted to black-and-white binary images. Then, the quantitative analysis of the wear surface is processed using fractal dimension and the multifractal spectrum method. Results show that the wear rubber surface is fractal. Additionally, the roughness and the spectral width values increases with increase in temperature. Furthermore, the fractal dimensions shrink and the homogeneity of the rubber surface worsens. As temperature increases, the corresponding Δα and Δf(α) increase, resulting in rough wear surface with lower height homogeneity and higher complexity. Δα is equal to 0.238, 0.281 and 0.283 at the temperature of 25, 60 and 80 °C, respectively. Δf(α) is equal to 0.027, 0.035 and 0.039 at the temperature of 25, 60 and 80 °C, respectively. In conclusion, fractal theory can be used to describe and evaluate the surface morphology and wear characteristics of rubber materials.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Dong, C., Yuan, C., Bai, X., et al. (2014). Study on wear behaviour and wear model of nitrile butadiene rubber under water lubricated conditions. Rsc Advances, 4(36), 19034–19042.

    Article  Google Scholar 

  2. Wu, Y. P., Zhou, Y., & Li, J. L. (2016). A comparative study on wear behavior and mechanism of styrene butadiene rubber under dry and wet conditions. Wear, 356–357, 1–8.

    Article  Google Scholar 

  3. Vieira, T., Ferreira, R. P., & Kuchiishi, A. K. (2015). Evaluation of friction mechanisms and wear rates on rubber tire materials by low-cost laboratory tests. Wear, 328–329, 556–562.

    Article  Google Scholar 

  4. Shen, M. X., Dong, F., & Zhang, Z. X. (2016). Effect of abrasive size on friction and wear characteristics of nitrile butadiene rubber (NBR) in two-body abrasion. Tribology International, 103, 1–11.

    Article  Google Scholar 

  5. Wu, Y., Zhou, Y., & Li, J. (2016). Influence of fillers dispersion on friction and wear performance of solution styrene butadiene rubber composites. Journal of Applied Polymer Science, 133(26), 43589.

    Article  Google Scholar 

  6. Grosch, K. A. (2007). Rubber friction and its relation to tire traction. Rubber Chemistry and Technology, 80(3), 379–411.

    Article  Google Scholar 

  7. Heinz, M., & Grosch, K. A. (2007). A laboratory method to comprehensively evaluate abrasion, traction and rolling resistance of tire tread compounds. Rubber Chemistry and Technology, 80(4), 580–607.

    Article  Google Scholar 

  8. Gent, A. N., & Walter, J. D. (2005). The pneumatic tire. Washington DC: NHTSA.

  9. Grosch, K. A., & Heinz, M. (2003). The use of laboratory tester 100 for the evaluation of tire tread properties. In Third european conference on constitutive models for rubber (pp. 15–17). London, Great Britain.

  10. Du, G. X., & Ning, X. X. (2008). Multifractal properties of Chinese stock market in Shanghai. Physica A, 387(1), 261–269.

    Article  Google Scholar 

  11. Ge, S. R., & Zhu, H. (2005). Fractal of tribology. Beijing: Machinery Industry Press.

  12. Quan Shuhai. (2002). Research on fractal character of machined surface topography based on surface grayscale image. WuHan University of Technology.

  13. Zhu, H., & Ji, C. C. (2011). Fractal theory and its application. Science Press.

  14. Li, P., Hu, K. L., & Wang, B. H. (2004). Design and application about computing program of material multifractal spectrum[J]. Journal of Nanjing University of Aeronautics and Astronautics, 36(1), 77–81.

    Google Scholar 

Download references

Acknowledgements

This research is funded by Research Award Fund for Outstanding Young Scientists in Shandong province (BS2012CL014), the center open issue for Green tire and Rubber collaborative innovation (2014GTR0013).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shunxiao Hu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Z., Hu, S., Miao, Z. et al. Application of Multifractal Spectrum Calculation Program in Rubber Wear Under High Temperature. Wireless Pers Commun 103, 1–9 (2018). https://doi.org/10.1007/s11277-018-5419-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5419-9

Keywords

Navigation