Evaluation for Crack Defects of Self-Lubricating Sliding Bearings Coating Based on Terahertz Non-Destructive Testing
Source abstract
Abstract
In this study, a non-destructive testing method for crack defects of self-lubricating sliding bearing coating based on terahertz time-domain spectroscopy was proposed. The self-lubricating coating materials were revealed to have good penetration and characteristic response in the terahertz band through experiments. To solve the problem of difficulty in signal feature extraction caused by overlap, the broad learning system was used to classify and predict time-domain signals of crack defects. The identification accuracy for crack defects is 96.08%, and the mean relative errors of prediction for interface and internal cracks (5 to 95 μm in size) are 4.16% and 3.40%, respectively. The method proved the applicability for qualitative and quantitative evaluation in crack defects, which is considered a new idea for the non-destructive testing of self-lubricating coating.
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Research context
OpenAlex topics: Terahertz technology and applications · Thermography and Photoacoustic Techniques · Semiconductor materials and interfaces
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou 350108, China
Fujian Longxi Bearing (Group) Corporation Limited, Zhangzhou 363005, China
School of Economics and Management, Minjiang University, Fuzhou 350108, China
Funding
National Natural Science Foundation of China · Key Technological Innovation and Industrialization Foundation of Fujian Province · Natural Science Foundation of Fujian Province · Young and Middle-Aged Teacher Education Research Foundation of Fujian Province
References (41)
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