Open Access
ARTICLE
Research and Application of Log Defect Detection and Visualization System Based on Dry Coupling Ultrasonic Method
Yongning Yuan1, Dong Zhang2, Usama Sayed3, Hao Zhu1, Jun Wang4, Xiaojun Yang2, Zheng Wang2,*
1
College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, 210037, China
2
College of Materials Science and Engineering, Nanjing Forestry University, Nanjing, 210037, China
3
College of Civil Engineering, Nanjing Forestry University, Nanjing, 210037, China
4
College of Information Science and Technology, Nanjing Forestry University, Nanjing, 210037, China
*
Corresponding Author: Zheng Wang. Email: wangzheng63258@163.com
(This article belongs to the Special Issue: Bio-Composite Materials and Structures-2023)
Journal of Renewable Materials 2023, 11(11), 3917-3932. https://doi.org/10.32604/jrm.2023.028764
Received 06 January 2023; Accepted 11 May 2023; Issue published 31 October 2023
Abstract
In order to optimize the wood internal quality detection and evaluation system and improve the comprehensive
utilization rate of wood, this paper invented a set of log internal defect detection and visualization system by using
the ultrasonic dry coupling agent method. The detection and visualization analysis of internal log defects were
realized through log specimen test. The main conclusions show that the accuracy, reliability and practicability
of the system for detecting the internal defects of log specimens have been effectively verified. The system can
make the edge of the detected image smooth by interpolation algorithm, and the edge detection algorithm can
be used to detect and reflect the location of internal defects of logs accurately. The content mentioned above
has good application value for meeting the requirement of increasing demand for wood resources and improving
the automation level of wood nondestructive testing instruments.
Keywords
Cite This Article
APA Style
Yuan, Y., Zhang, D., Sayed, U., Zhu, H., Wang, J. et al. (2023). Research and application of log defect detection and visualization system based on dry coupling ultrasonic method. Journal of Renewable Materials, 11(11), 3917-3932. https://doi.org/10.32604/jrm.2023.028764
Vancouver Style
Yuan Y, Zhang D, Sayed U, Zhu H, Wang J, Yang X, et al. Research and application of log defect detection and visualization system based on dry coupling ultrasonic method. J Renewable Materials . 2023;11(11):3917-3932 https://doi.org/10.32604/jrm.2023.028764
IEEE Style
Y. Yuan et al., "Research and Application of Log Defect Detection and Visualization System Based on Dry Coupling Ultrasonic Method," J. Renewable Materials , vol. 11, no. 11, pp. 3917-3932. 2023. https://doi.org/10.32604/jrm.2023.028764