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Wear Predicted Model of Tread Rubber Based on Experimental and Numerical Method

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Abstract

Tire wear degrades the tire performance and also shorten its life. So it is of great guiding significance and practical value to establish wear predicted model of tire for improving its wear resistance. Firstly, a friction coefficient expression is developed based on the investigation of the tread friction characteristics. Then, a numerical wear model is developed and verified by the LAT 100 laboratory test. Finally, the new analytical wear model is present in terms of friction shear stress and wear rate. Results indicate that the volumetric wear rate, surface temperature, weight loss increases when the velocity increases; the wear becomes intense with the increasement of side-slip angle and there is little wear when the angle is zero, while the surface temperature firstly increases and then decreases when the slip angle increases. Finally, a new wear predicted model is developed based on frictional energy density and wear rate.

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References

  1. Silva MMD, Neto ACA (2012) Simplified model for evaluating tire wear during conceptual design. Int J Automot Technol 13(6):915–922

    Article  Google Scholar 

  2. Cho JR, Choi JH, Kim YS (2011) Abrasive wear amount estimate for 3D patterned tire utilizing frictional dynamic rolling analysis. Tribol Int 44:850–858

    Article  Google Scholar 

  3. Zheng D (2003) Prediction of tire tread wear with FEM steady state rolling contact simulation. Tire Sci Technol 31(3):189–202

    Article  Google Scholar 

  4. Zhou HC, Wang GL, Yang J (2014) Numerical simulation of tire hydroplaning and its influencing factors. Appl Mech Mater 602-605:580–585

    Article  Google Scholar 

  5. Nonaka M, Funato N (2012) Pneumatic tire with tread having ground contact shape and uneven wear sacrificial protrusion. US 20120111467 A1

  6. Arata Y, Iwai T, Shoukaku Y (2012) Wear properties of rubber specimen for tires at low slip ratio. JSME S115011:1–4

  7. Mokhtari M, Schipper DJ, Vleugels N, Noordermeer JWM (2015) Noordermeer, existence of a tribo-modified surface layer on SBR elastomers: balance between formation and wear of the modified layer. Tribol Lett 58(2):22

    Article  Google Scholar 

  8. Huang CY, Huang X (2014) Effects of pavement texture on pavement friction: a review. Int J Veh Des 65(2):256–269

    Article  Google Scholar 

  9. Li Y, Zuo S, Lei L, Yang X (2012) Analysis of impact factors of tire wear. J Vib Control 18(6):833–840

    Article  Google Scholar 

  10. Kravchenko A, Sakno O, Lukichov A (2012) Research of dynamics of tire wear of trucks and prognostication of their service life. Transp Probl Int Sci J 7(4):85–94

    Google Scholar 

  11. Vieiraa T, Ferreirab RP, Kuchiishia AK, Bernuccia LLB et al (2015) Evaluation of friction mechanisms and wear rates on rubber tire materials by low-cost laboratory tests. Wear 328–329(15):556–562

    Article  Google Scholar 

  12. Cardoso FA, Costa ALDA, Tanaka DK (2010) Durability performance of tire tread rubber compounds as a function of road pavement. Tecnologia em Metalurgia, Materiais e Mineracao 1124:375–387

    Google Scholar 

  13. Vieira T, Ferreira RP, Kuchiishi AK (2015) Evaluation of friction mechanisms and wear rates on rubber tire materials by low-cost laboratory tests. Wear S328–329:556–562

    Article  Google Scholar 

  14. Tamada R, Shiraishi M (2017) Prediction of uneven tire wear using wear progress simulation. Tire Sci Technol TSTCA 45(2):87–100

    Article  Google Scholar 

  15. Smith KR, Kennedy RH, Knisley SB (2008) Prediction of tire profile wear by steady state FEM. Tire Sci Technol TSTCA 36:290–303

    Article  Google Scholar 

  16. Lupker H, Cheli F, Braghin F, Gelosa E, Keckman A (2004) Numerical prediction of car tire wear. Tire Sci Technol TSTCA 32(3):164–186

  17. Liu F, Sutcliffe MPF, Graham WR (2010) Prediction of tread block forces for a free-rolling tyre in contact with a smooth road. Wear 269:672–683

    Article  Google Scholar 

  18. Cho JC, Jung BC (2007) Prediction of tread pattern wear by an explicit finite element model. Tire Sci Technol TSTCA 35:276–299

    Article  Google Scholar 

  19. Tong G, Wang Q, Yang K (2014) Simulation on the radial tire wear noise. Appl Mech Mater 488-489:1121–1124

    Article  Google Scholar 

  20. Sreeraj R, Sandeep V, Gokul R, Baskar P (2016) Tire wear analysis using ABAQUS. Int J Innov Res Sci Eng Technol 5(8):14403–14410

    Google Scholar 

  21. Zuo SG, Ni TX, Prediction WXD (2014) Procedure for wear distribution of transient rolling tire. Int J Automot Technol 15(3):505–515

    Article  Google Scholar 

  22. Lang A, Klüppel M (2017) Influences of temperature and load on the dry friction behaviour of tire tread compounds in contact with rough granite. Wear 380-381(15):15–25

    Article  Google Scholar 

  23. Dan D, Munteanu L, Brisan C (2013) On the continuum modeling of the tire/road dynamic contact. Comput Model Eng Sci 94(2):159–173

    Google Scholar 

  24. Kondé AK, Rosu I, Lebon F (2013) On the modeling of aircraft tire. Aerosp Sci Technol 27(1):67–75

    Article  Google Scholar 

  25. Steen RVD, Lopez I, Nijmeijer H, Schmeitz AJC, Bruijn BD (2011) Experimental and numerical study of friction and braking characteristics of rolling tires. Tire Sci Technol 39:62–78

    Article  Google Scholar 

  26. Heinz M, Grosch KA (2007) Laboratory method to comprehensively evaluate abrasion, traction and rolling resistance of tire tread compounds. Rubber Chem Technol 80(4):580–607

    Article  Google Scholar 

  27. Savkoor AR (1965) On the friction of rubber. Wear 8(3):222–237

    Article  Google Scholar 

  28. Grosch KA (1996) The rolling resistance, wear and traction properties of tread compounds. Rubber Chem Technol 69:495–568

    Article  Google Scholar 

  29. Grosch KA (2007) Goodyear medalist lecture. Rubber friction and its relation to tire traction. Rubber Chem Technol 80(3):379–411

  30. Dorsch V, Becker A, Vossen L (2002) Enhanced rubber friction model for finite element simulations of rolling tyres. Plast Rubber Compos: PRC 31:458–464

    Article  Google Scholar 

  31. Thoo HW, Ratnam MM (2016) An improved method of projected area determination in nanoindentation using image processing with sub-pixel edge location. Exp Tech 40(2):803–818

    Article  Google Scholar 

  32. Persson BNJ (1999) On the theory of rubber friction. Surf Sci 401(3):445–454

    Article  Google Scholar 

  33. Heinrich G, Kluppel M (2008) Rubber friction, tread deformation and tire traction. Wear 265(7–8):1052–1060

    Article  Google Scholar 

Download references

Acknowledgements

This work is funded by Natural Scientific Research Innovation Foundation in Harbin Institute of Technology (HIT.NSRIF.2015109) and Major Special Project of Shandong Province Independent Innovation Achievements Transformation (2014ZZCX03407).

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Correspondence to C. Zhang.

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Wu, J., Zhang, C., Wang, Y. et al. Wear Predicted Model of Tread Rubber Based on Experimental and Numerical Method. Exp Tech 42, 191–198 (2018). https://doi.org/10.1007/s40799-017-0214-1

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  • DOI: https://doi.org/10.1007/s40799-017-0214-1

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