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The performance simulation analysis of material tribological behavior based on the machine sensing algorithm

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Abstract

Material simulation was crucial to material performance. Tribological behavior and thermal stability of polytetrafluoroethylene (PTFE) composites was well known to be affected by factors depending mainly by matrix and filler properties. However, the mechanism taking place had not still been fully explained. In this work, the composite material filled with different ratio PSA fiber and siloxane had been investigated using scanning electron microscope, electronic universal testing machine, shore durometer and friction–abrasion testing machine, and the material was simulated. The result showed that the tensile strength and hardness of the composites were improved due to good dispersion of PSA fiber in the matrix and the good interface with the matrix when the lower content of PSA fibers. Tribological properties of composites and dual surface transfer films of PTFE/ PSA composites were improved by PSA fibers and silane coupling agent were used cooperatively. Cone calorimeter test and thermo-gravimetric analysis indicate that 4\(^{\# }\) sample had lower heat release rate, mass loss rate. The 4\(^{\# }\) sample had been endowed with the better thermal stability due to the hybridization of silane and PSA. This laid a foundation for further simulation analysis research and application of the composites.

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Acknowledgements

This work was partly supported by National Natural Science Foundation of China (51505272) and the Natural Science Foundation of Hebei Province (E2015507037).

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Authors and Affiliations

  1. School of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, People’s Republic of China

    Zhaoqiang Wang, Mingen Wu & Gan He

  2. School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai, 201620, People’s Republic of China

    Jian Yang

  3. Chinese People’s Armed Police Forces Academy, Langfang, 065000, Hebei, People’s Republic of China

    Qilei Wang

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  1. Zhaoqiang Wang
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  2. Jian Yang
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  3. Mingen Wu
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  4. Gan He
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  5. Qilei Wang
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Correspondence to Zhaoqiang Wang.

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Wang, Z., Yang, J., Wu, M. et al. The performance simulation analysis of material tribological behavior based on the machine sensing algorithm. Cluster Comput 22 (Suppl 3), 5127–5134 (2019). https://doi.org/10.1007/s10586-017-1099-6

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  • DOI: https://doi.org/10.1007/s10586-017-1099-6

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