MATEC Web Conf.
Volume 335, 202114th EURECA 2020 – International Engineering and Computing Research Conference “Shaping the Future through Multidisciplinary Research”
|Number of page(s)||12|
|Published online||25 January 2021|
- Continental Tires. (27 April 2020). Tire damages. Available: https://www.continental-tires.com/car/tire-knowledge/tire-damage-age-repair/tire-damages [Google Scholar]
- Bridgestone. (28 April 2020). Tire Tread Patterns. Available: https://www.bridgestonetire.com/tread-and-trend/tire-talk/tire-tread-patterns [Google Scholar]
- R. Muniandy, D. Moazami, H. Hamid, S. Hassim, “Characterization of effective tire contact area for various tread patterns,” Instrum. Sci. Technol., 42, pp. 15-26 (2014) [Google Scholar]
- T.F. Fwa, S.S. Kumar, K. Anupam, G.P. Ong, “Effectiveness of tire-tread patterns in reducing the risk of hydroplaning,” Transp. Res. Rec., 2094, pp. 91-102 (2009) [Google Scholar]
- S.S. Kumar, K. Anupam, T. Scarpas, C. Kasbergen, “Study of hydroplaning risk on rolling and sliding passenger car,” Procedia Soc. Behav. Sci., 53, pp. 1019-1027 (2012) [Google Scholar]
- R. Sreeraj, V. Sandeep, R. Gokul, P. Baskar, “Tire wear analysis using ABAQUS,” Int J Innov Res Sci Eng Technol, 5, pp. 14403-14410 (2016) [Google Scholar]
- J. Chang, H. Chenyuan, J. Xiaoxiong, “FE simulation of tire wear with complicated tread pattern,” Procedia Engineering, 15, pp. 5015-5019 (2011) [Google Scholar]
- A. Leyland, A. Matthews, “On the significance of the H/E ratio in wear control: a nanocomposite coating approach to optimised tribological behaviour,” Wear, 246, pp. 1-11 (2000) [Google Scholar]
- A. Singhal, M.S. Khidiya, D. Gautam, S. Meena, K. Gahlot, “Analysis of a tyre on different treads at same pressure and load under static conditions,” Int. J. Sci. Res. Sci. Eng. Technol., 2, pp. 653-657 (2016) [Google Scholar]
- J. Wu, Y.S. Wang, B.L. Su, Q. Liu, “Experimental and numerical studies on tire tread block friction characteristics based on a new test device,” Adv. Mater. Sci. Eng., 2014, p. 816204 (2014) [Google Scholar]
- E. Madenci, I. Guven, The finite element method and applications in engineering using ANSYS® (Springer, 2015) [CrossRef] [Google Scholar]
- K. Gok, S. Inal, A. Gok, E. Gulbandilar, “Comparison of effects of different screw materials in the triangle fixation of femoral neck fractures,” J. Mater. Sci. Mater. Med., 28, p. 81 (2017) [CrossRef] [Google Scholar]
- B.N.J. Persson, U. Tartaglino, O. Albohr, E. Tosatti, “Rubber friction on wet and dry road surfaces: The sealing effect,” Phys. Rev. B, 71, p. 035428 (2005) [Google Scholar]
- C. Ihueze, C.O. Mgbemena, A. Menon, “2D static failure prediction for critical stresses of an Automobile Tire Side Walls using MATLAB PDE Toolbox,” IOSR Journal of Mechanical and Civil Engineering, 11, pp. 70-76 (2014) [Google Scholar]
- L. Spiegel, G.F. Limbrunner, Instructor’s manual to accompany applied statics and strength of materials, fourth edition (Prentice Hall, 2004) [Google Scholar]
- C.O. Mgbemena, T.E. Boye, I. Emovon, “Static analysis of a tire sidewall developed from tailored Organomodified Kaolin/Natural Rubber Vulcanizates,” J. Adv. Eng. Comput., 1, pp. 106-113 (2017) [Google Scholar]
- N.B. Dhokey, K.K. Rane, “Wear behavior and its correlation with mechanical properties of TiB2 reinforced aluminium-based composites,” Adv. Tribol., 2011, p. 837469 (2011) [Google Scholar]
- B. Ma, H.-g. Xu, Y. Chen, M.-y. Lin, “Evaluating the tire wear quantity and differences based on vehicle and road coupling method,” Adv. Mech. Eng., 9(5), p. 1687814017700063 (2017) [Google Scholar]
- F. Farroni, R. Russo, F. Timpone, “Experimental investigations on rubber friction coefficient dependence on visco-elastic characteristics, track roughness, contact force, and slide velocity,” Tire Sci. Technol., 45, pp. 3-24 (2017) [Google Scholar]
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