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Characterization of Road Surfaces Using High Resolution 3D Surface Scans to Develop Parameters for Predicting Tire-Surface Friction

Walton, Ryan J
http://orcid.org/0000-0003-1434-7198
http://rave.ohiolink.edu/etdc/view?acc_num=osu1531432167496958

Abstract Details

2018, Master of Science, Ohio State University, Mechanical Engineering.
Being able to accurately predict the coefficient of friction between a tire-surface pairing is highly desirable. Accurate coefficient of friction values would find use in tire models, highway safety applications, and motorsport competitions. The work in this thesis seeks to accurately measure road surface texture at high resolution, and examine the influence of surface texture on the friction response. Friction measurements were obtained with skid systems using ASTM standardized tires, and a British Pendulum Tester. Great effort was taken to keep the tire or rubber used constant such that the isolated effect of the road surface texture on the coefficient of friction could be observed. Friction measurements were collected on seventeen unique road surface types. Each of these road surface types were then cored such that two representative samples of road texture could be measured at high resolution in a laboratory setting. From the surface texture measurements on each core, eight surface parameters were identified and computed. These surface parameters were investigated with respect to friction using single and multivariate linear regression models. Additionally surface texture stability was conducted in order to investigate surface measurement practices. Each surface texture data set was subsampled and subdivided in order to better understand minimally acceptable scan size and resolution with respect to surface texture.
Rebecca Dupaix, Ph.D (Advisor)
Jeffrey Chrstos, Ph.D (Advisor)
Shawn Midlam-Mohler, Ph.D (Committee Member)
127 p.
Mechanical Engineering
Tire Surface; macrotexture; microtexture; tire friction; 3D topology;

Recommended Citations

Citations

  • Walton, R. J. (2018). Characterization of Road Surfaces Using High Resolution 3D Surface Scans to Develop Parameters for Predicting Tire-Surface Friction [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531432167496958

    APA Style (7th edition)

  • Walton, Ryan. Characterization of Road Surfaces Using High Resolution 3D Surface Scans to Develop Parameters for Predicting Tire-Surface Friction. 2018. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1531432167496958.

    MLA Style (8th edition)

  • Walton, Ryan. "Characterization of Road Surfaces Using High Resolution 3D Surface Scans to Develop Parameters for Predicting Tire-Surface Friction." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531432167496958

    Chicago Manual of Style (17th edition)

osu1531432167496958
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© 2018, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.