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一种用于通过选择性激光熔化技术成型的316L不锈钢早期疲劳损伤诊断的新方法。

A Novel Method for Early Fatigue Damage Diagnosis in 316L Stainless Steel Formed by Selective Laser Melting Technology.

作者信息

Yan Xiaoling, Tang Xiujian

机构信息

College of Artificial Intelligence, Beijing Technology and Business University, Beijing 102488, China.

Science and Technology on Remanufacturing Laboratory, Armored Forces Academy of PLA, Beijing 100072, China.

出版信息

Materials (Basel). 2023 Apr 25;16(9):3363. doi: 10.3390/ma16093363.

Abstract

Early fatigue damage is an important factor affecting the service safety of 316L stainless steel parts formed by selective laser melting (SLM) technology. Nonlinear ultrasonic testing for early fatigue damage in SLM 316L stainless steel specimens was carried out. A new method for evaluation of early fatigue damage based on nonlinear ultrasonic testing was proposed. Empirical mode decomposition (EMD) was applied to the unsteady ultrasonic testing signal, and the signal was decomposed into multiple intrinsic mode functions (IMFs) that meet certain conditions; then, the specific IMF (ESI) containing the effective fatigue damage information was extracted. Lastly, fast Fourier transform (FFT) was applied to the specific IMF signal to obtain the required information to evaluate the damage in the measured part caused by fatigue. The results of nonlinear ultrasonic testing agreed well with transmission electron microscope experimental analysis and theoretical model of acoustic nonlinearity caused by dislocations. The change in nonlinear ultrasonic testing results reflected the generation and evolution of dislocation structure during the low-cycle fatigue regime of the SLM 316L stainless steel specimen and revealed the early fatigue damage mechanism of this metal part. Compared with the classical FFT method, the EMD-ESI-FFT method is more sensitive in identifying the early damage in SLM 316L stainless parts induced by fatigue loading, which is equivalent to improving the early fatigue damage identification and diagnosis ability and can better ensure the service safety of important metal parts.

摘要

早期疲劳损伤是影响采用选择性激光熔化(SLM)技术成型的316L不锈钢零件服役安全的重要因素。对SLM 316L不锈钢试样的早期疲劳损伤进行了非线性超声检测。提出了一种基于非线性超声检测的早期疲劳损伤评估新方法。将经验模态分解(EMD)应用于非稳态超声检测信号,将信号分解为多个满足一定条件的本征模态函数(IMF);然后,提取包含有效疲劳损伤信息的特定IMF(ESI)。最后,对特定IMF信号进行快速傅里叶变换(FFT),以获得评估被测零件疲劳损伤所需的信息。非线性超声检测结果与透射电子显微镜实验分析以及位错引起的声学非线性理论模型吻合良好。非线性超声检测结果的变化反映了SLM 316L不锈钢试样低周疲劳阶段位错结构的产生和演化,揭示了该金属零件的早期疲劳损伤机制。与经典FFT方法相比,EMD-ESI-FFT方法在识别SLM 316L不锈钢零件疲劳加载引起的早期损伤方面更敏感,这相当于提高了早期疲劳损伤识别和诊断能力,能更好地确保重要金属零件的服役安全。

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