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Numerical Simulation of Derusting Treatment of Steel Parts By Shot Blast

Zhe Li1, Fan Yang1,*, Yaping Liu1, Yukui Gao1

School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, 200092, China.

*Corresponding Author: Fan Yang. Email: email.

Computer Modeling in Engineering & Sciences 2019, 120(1), 157-175. https://doi.org/10.32604/cmes.2019.05187

Abstract

In this paper, we investigated the shot blast treatment for derusting application through finite element (FE) simulations with a large number of random shots. The element deletion technique based on dynamic failure criteria was used to model the removal of rust. The cohesive surface model with damage evolution was used to characterize the decohesion of the rust/substrate interface. The effects of various processing and material parameters on the derusting effectiveness were examined. The results show that the rate of derusting mainly depends on the shot size, velocity and impinging angle, with little relevance to the rust thickness. The spalling of the rust fragments resulted from the decohesion of the rust/substrate interface were observed, especially during the later stage of the treatment. Furthermore, the residual stress and the surface roughness was also investigated and the beneficial effects of shot blast treatment in terms of these aspects were highlighted.

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APA Style
Li, Z., Yang, F., Liu, Y., Gao, Y. (2019). Numerical simulation of derusting treatment of steel parts by shot blast. Computer Modeling in Engineering & Sciences, 120(1), 157-175. https://doi.org/10.32604/cmes.2019.05187
Vancouver Style
Li Z, Yang F, Liu Y, Gao Y. Numerical simulation of derusting treatment of steel parts by shot blast. Comput Model Eng Sci. 2019;120(1):157-175 https://doi.org/10.32604/cmes.2019.05187
IEEE Style
Z. Li, F. Yang, Y. Liu, and Y. Gao, “Numerical Simulation of Derusting Treatment of Steel Parts By Shot Blast,” Comput. Model. Eng. Sci., vol. 120, no. 1, pp. 157-175, 2019. https://doi.org/10.32604/cmes.2019.05187

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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