Experimental Study of Slurry Erosion of Ni-Hard Cast Iron and Prediction of Wear of Materials with the Use of Artificial Neural Network (ANN)-Reference-Cited by-同舟云学术

Experimental Study of Slurry Erosion of Ni-Hard Cast Iron and Prediction of Wear of Materials with the Use of Artificial Neural Network (ANN)

Published:2023-09 Issue:5-6 Volume:65 Page:356-362
ISSN:0026-0673
Container-title:Metal Science and Heat Treatment
language:en
Short-container-title:Met Sci Heat Treat

Author:

Makwana M. D.,Sutaria B. M.

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,Mechanics of Materials,Condensed Matter Physics

Link

https://link.springer.com/content/pdf/10.1007/s11041-023-00938-7.pdf

Reference34 articles.

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2. M. A. Al-Bukhaiti, S. M. Ahmed, F. M. F. Badran, and K. M. Emara, “Effect of impingement angle on slurry erosion behaviour and mechanisms of 1017 steel and high-chromium white cast iron,” Wear, 262(9 – 10), 1187 – 1198 (2007).

3. L. Haviez, T. Rosario, Mohamad El Youssef, et al., “Semi-physical neural network model for fretting wear estimation,” JIFS, 28(4), 1745 – 1753 (2015).

4. D. Li, R. Lv, G. Si, and Y. You, “Hybrid neural network-based prediction model for tribological properties of polyamide6-based friction materials,” Polym. Compos., 38(8), 1705 – 1711 (2017).

5. K. Velten, R. Reinicke, and K. Friedrich, “Wear volume prediction with artificial neural networks,” Tribol. Int., 33(10), 731 – 736 (2000).

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