To describe the dynamic evolutionary law and tribological behavior of the tribopair AISI 52100-AISI 1045, rotational experiments were conducted by sliding a disk against a static pin. The multidimensional phase spaces were reconstructed based on the scalar time-series by the time-delay embedding technique, and the multivariate graph-based method was used to visualize the overall picture of the phase space. The evolution of radar plots and the corresponding multivariate graph centrobaric trajectory (MGCT) is consistent with the description of “running-in, steady-state and increasing friction stages,” and can serve as effective indicators for the friction state transitions. Results show that the radar plot can inform quantitative interpretations of friction process identification. Therefore, the multivariate graph-based method is a useful approach to characterize the nonlinear dynamics of tribological behaviors.
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April 2019
Research-Article
Multivariate Graph-Based Analysis on Coefficient of Friction Signal During the Friction Process
Guodong Sun,
Guodong Sun
School of Mechatronic Engineering,
China University of Mining and Technology,
Xuzhou 221116, China
China University of Mining and Technology,
Xuzhou 221116, China
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Hua Zhu,
Hua Zhu
School of Mechatronic Engineering,
China University of Mining and Technology,
Xuzhou 221116, China
e-mail: zhuhua83591917@163.com
China University of Mining and Technology,
Xuzhou 221116, China
e-mail: zhuhua83591917@163.com
Search for other works by this author on:
Shihui Lang,
Shihui Lang
School of Mechatronic Engineering, China
University of Mining and Technology,
Xuzhou 221116, China
University of Mining and Technology,
Xuzhou 221116, China
Search for other works by this author on:
Cong Ding
Cong Ding
School of Mechatronic Engineering,
China University of Mining and Technology,
Xuzhou 221116, China
China University of Mining and Technology,
Xuzhou 221116, China
Search for other works by this author on:
Guodong Sun
School of Mechatronic Engineering,
China University of Mining and Technology,
Xuzhou 221116, China
China University of Mining and Technology,
Xuzhou 221116, China
Hua Zhu
School of Mechatronic Engineering,
China University of Mining and Technology,
Xuzhou 221116, China
e-mail: zhuhua83591917@163.com
China University of Mining and Technology,
Xuzhou 221116, China
e-mail: zhuhua83591917@163.com
Shihui Lang
School of Mechatronic Engineering, China
University of Mining and Technology,
Xuzhou 221116, China
University of Mining and Technology,
Xuzhou 221116, China
Cong Ding
School of Mechatronic Engineering,
China University of Mining and Technology,
Xuzhou 221116, China
China University of Mining and Technology,
Xuzhou 221116, China
1Corresponding author.
Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received August 9, 2018; final manuscript received November 26, 2018; published online January 16, 2019. Assoc. Editor: Stephen Boedo.
J. Tribol. Apr 2019, 141(4): 041101 (9 pages)
Published Online: January 16, 2019
Article history
Received:
August 9, 2018
Revised:
November 26, 2018
Citation
Sun, G., Zhu, H., Lang, S., and Ding, C. (January 16, 2019). "Multivariate Graph-Based Analysis on Coefficient of Friction Signal During the Friction Process." ASME. J. Tribol. April 2019; 141(4): 041101. https://doi.org/10.1115/1.4042199
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