在基于多功能磁性测试技术的中等碳钢板中,对残余应力,表面硬度和外深度的定量预测
Changjie Xu1,2, Xianxian Wang3, Haijiang Dong4
1School of Emergency Equipment, North China Institute of Science and Technology, Langfang 065201, China.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
这项研究使用磁性巴克豪森噪声 (MBN) 和增量透性 (IP) 来预测钢的残余应力和硬度. 改进的反转方法提高了对x方向应力和病例深度的预测准确性.
科学领域:
- 材料科学 材料科学 材料科学
- 非破坏性测试 不破坏性测试
背景情况:
- 准确的钢材特性表征对于性能和安全至关重要.
- 非破坏性评估 (NDE) 方法对于现场质量控制至关重要.
研究的目的:
- 量化预测45个钢板的双向残余应力,表面硬度和外深度.
- 开发和验证一种改进的磁性NDE方法,用于同时进行属性预测.
主要方法:
- 利用了触角磁场 (TMF),磁性巴克豪森噪声 (MBN) 和增量透性 (IP) 技术.
- 采用皮尔森相关性分析和多重线性回归 (MLR) 进行初始建模.
- 开发了一种反转方法,以提高特定属性的预测准确度.
主要成果:
- MBN和IP信号参数与残余应力和表面硬度有很强的相关性.
- MLR模型实现了高精度的y方向余应力和硬度预测.
- 开发的反转方法显著改善了对x方向余应力 (R2从0.89到0.96) 和病例深度 (AE从0.10毫米减少到0.04毫米) 的预测.
结论:
- 磁性NDE方法,特别是MBN和IP,对于预测钢的多种性质是有效的.
- 开发的反转方法为准确的,同时的剩余应力和病例深度的定量预测提供了重大进展.
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