Abstract

Shot peening is well-known process for mechanical properties integrity in metallic materials. In present study influences of different shot peening treatments on the surface hardness of different carbon steels were investigated experimentally and then alternative approach by using artificial neural network is presented for hardness prediction of the shot peened surface. After modeling a comprehensive parametric investigations and sensitivity analysis were applied according to the influence of the related effective parameters on surface hardness improvements.

Graphic Abstract

中文翻译：

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改善表面硬度的喷丸强化有效参数的优化

摘要

喷丸处理是众所周知的金属材料机械性能完整性的方法。在本研究中，实验研究了不同喷丸处理对不同碳钢表面硬度的影响，然后提出了使用人工神经网络的替代方法来预测喷丸表面的硬度。在建模之后，根据相关有效参数对表面硬度改善的影响，进行了全面的参数研究和敏感性分析。

图形摘要