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thesis-MK-8-6-2021.pdf (1.63 MB)

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Simplified Model for Rubber Friction to Study the Effect of Direct and Indirect DMA Test Results

Kelly, Michael J
http://rave.ohiolink.edu/etdc/view?acc_num=akron1627592247173898

Abstract Details

2021, Master of Science in Engineering, University of Akron, Mechanical Engineering.
The viscoelastic properties of rubber have allowed compounds to be utilized across many different industries. Rubber is a very unique material, and the chosen manufacturing process can result in numerous variations of the polymer. With many potential outcomes, it is crucial to accurately determine the physical attributes of the polymer. For many applications, but specifically for the tire industry, one of the standard methods for determining viscoelastic properties is through dynamic mechanical analysis (DMA). The raw data from DMA is adjusted through the Williams, Landel, and Ferry (WLF) shift equation to create a master curve for the rubber specimen. This study investigates methods for the calculation of friction coefficient, and suggests a new code to predict the friction coefficient. Several discussions in the paper will be for validation of the code and its range of applications. We then implement a parametric analysis to determine which factors critically affect the friction factor results. By finding the sensitivity of the inputs to the new code for friction coefficient, the critical inputs can be identified. The parameters that are studied are the storage modulus, loss modulus, surface asperities heights, the surface asperities wavelength, and the adhesive contribution to friction. The adhesion and hysteresis contributions to the friction coefficient are also discussed in this paper. It is shown that the adhesive contribution plays a large role in determining the friction coefficient. The data from the study will determine the effect that direct DMA testing has on the friction coefficient as well as tire performance indicators. The indicators that the direct testing affects the most are the wet traction indicator, the snow traction indicator, and the ice traction indicator.
Siamak Farhad (Advisor)
Alex Povitsky (Committee Member)
Shing-Chung (Josh) Wong (Committee Member)
90 p.
Automotive Materials; Materials Science; Mathematics; Polymers
modeling; storage modulus; loss modulus; friction coefficient; dynamic mechanical analysis; direct measurements; accuracy improvement; vehicle tires

Recommended Citations

Citations

  • Kelly, M. J. (2021). Simplified Model for Rubber Friction to Study the Effect of Direct and Indirect DMA Test Results [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1627592247173898

    APA Style (7th edition)

  • Kelly, Michael. Simplified Model for Rubber Friction to Study the Effect of Direct and Indirect DMA Test Results. 2021. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1627592247173898.

    MLA Style (8th edition)

  • Kelly, Michael. "Simplified Model for Rubber Friction to Study the Effect of Direct and Indirect DMA Test Results." Master's thesis, University of Akron, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=akron1627592247173898

    Chicago Manual of Style (17th edition)

akron1627592247173898
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© 2021, some rights reserved.Creative Commons License Simplified Model for Rubber Friction to Study the Effect of Direct and Indirect DMA Test Results by Michael J Kelly is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Akron and OhioLINK.