journal article·2019-03

Study of a Finite-Element-Based Spatial Distribution Model for Coal-Mining Wire-Rope Detection Signal

Hongyao Wang, Jie Tian, Guoying Meng, Xiaowei Li, Junying Zhou, Xin Lü

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Abstract

Owing to inadequacies in the current technology for coal-mining wire-rope detection, a spatial distribution model for the coal-mining wire-rope detection signal based on a finite element analysis (FEA) is proposed. First, the three-dimensional FEA model for the coal-mining wire-rope-defect detection signal was developed to analyse the spatial characteristics of the magnetic flux leakage (MFL) signal of the coal-mining wire rope. On the basis of the results, the FEA model was experimentally validated. The experimental and FEA model results exhibited consistent patterns of change, and the research methods used in this study were demonstrated to be feasible. Lastly, the experimental prototype equipment was tested through simulation and experiments. The results show that compared with the conventional defect detection equipment, the new-type equipment detected 7 defects accurately in the experiment while the conventional equipment missed two. The signal-to-noise ratio of the new equipment is 33.1 dB higher than that of the conventional one, which reveals that it presents a better detection effect.
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Research context

OpenAlex topics: Non-Destructive Testing Techniques · Structural Health Monitoring Techniques · Ultrasonics and Acoustic Wave Propagation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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