Influence of tensile stress on the magnetic flux leakage signal of the coated steel belt

Abstract

ABSTRACTThe safety of coated steel belts (CSBs) is crucial for reliable elevator operation, as they are critical components in elevator systems. Magnetic flux leakage (MFL) testing is the preferred non-destructive method for evaluating CSBs due to its high sensitivity. Previous studies overlooked tensile stress's impact on in-service MFL testing of CSBs, potentially resulting in inaccurate defect assessments. This research aims to investigate the impact of tensile stress on the MFL signal of CSBs by developing a theoretical model, conducting finite element simulations, and performing experimental verification. In this paper, the rectangular edge defects are considered as the primary defect type in CSBs, and the applied stress on the CSBs varies from 30 MPa to 160 MPa. Under the above conditions, a linear relationship between MFL signal of CSBs and stress is established based on the simplified Jiles-Atherton model and magnetic dipole model suitable for CSBs. The finite element simulation and experiments further indicate that the MFL signal of CSBs increases linearly with the increasing tensile stress. The primary contributions of this study are establishing an MFL model suitable for CSBs and uncovering the linear relationship between the MFL signal of CSBs and tensile stress.KEYWORDS: Coated steel beltmagnetic field distribution mapmagnetic flux leakage testingtensile stress Disclosure statementThe authors report there are no competing interests to declare.Supplementary InformationSupplemental data for this article can be accessed online at https://doi.org/10.1080/10589759.2023.2274014.Additional informationFundingThis work was supported by the National Key Research and Development Program of China under Grant 2022YFF0605600; National Natural Science Foundation of China under Grant 92060114; Sichuan Science and Technology Program under Grant 2023YFQ0060, Grant 2023YFS0413, and Grant 2022YFG0044; Science and Technology Program of the State Administration for Market Regulation under Grant 2022MK153; and Science and Technology Program of the Administration for Market Regulation of Sichuan Province under Grant SCSJZ2023001.