Statistical Identification of Fatigue Life Using Metal Magnetic Memory Technique
Abstract
Due to various external stresses, high temperature, and high pressure for an extended period, the internal organizational structure for carbon steel components changes resulting in stress deformation and microscopic damage. Identification of cracks is critical, particularly during the earlier stages. This study presents the life prediction for the carbon steel component by observing the Metal Magnetic Memory (MMM) signals at different cycles of the specimen. It was carried out utilizing one of the Non-Destructive Testing (NDT) methods for evaluating components without affecting their continued use. In this paper, two specimens of carbon steel SAE 1045 that underwent with bending test and MMM (TSCM-2FM) were used to collect signals. The MMM signals were compared using MATLAB software's kurtosis statistical approaches to determine the material's failure point. According to the findings, the closer the crack distance (40 - 60mm), the greater the stress concentration (300 - 430 A/mm). The results indicate that when the kurtosis value approaches 3, the specimen is on the verge of failing. It can be concluded that the study can be used to predict the lifespan of carbon steel components.
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