Damage Detection in Tires Using Image-Based Strain Measurements
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Tire failure in mining operations can be hazardous, resulting in financial and productivity losses. There are opportunities to improve tire monitoring systems by safely and remotely providing full-field measurements of tire properties. An optical fault detection system has been developed to investigate the feasibility of using digital image correlation to measure displacement and strain on a tire surface with the aim of detecting tire damage. This study defines metrics for damage visibility and examines the visibility of different damage types at multiple orientations in a laboratory setting. Internal and external damage was successfully detected from changes in surface strain. Knowledge gained from this investigation can be used to drive the future development of industrial tire monitoring solutions.
KeywordsDamage detection Optical fault detection system Digital image correlation Tire damage
Technical support and insight from Dr. Khaled Obaia and Angus Munro of Syncrude is greatly appreciated. Funding support is gratefully acknowledged from the Natural Sciences and Engineering Research Council of Canada (NSERC), Syncrude Canada Ltd, and the University of Alberta.
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