Conference: Publication Date: 21 June 2022Testing Method:
Composite material usage is rapidly increasing within various industries due to their unique properties. Though having better damage tolerance and corrosion resistance than metals, the presence of defects in composites may significantly affect the material’s integrity and strength. This paper presents a multi-frequency nearfield microwave imaging system tailored to evaluate multi-layered composite materials. The system employs data fusion techniques utilizing multi-frequency signals while improving image quality. Results show the system’s penitential for accurately detecting multiple common defects within composite materials, making it a great material evaluation tool for practical applications.
DOI: 10.32548/RS.2022.042
[1] S. S. Pendhari, T. Kant, and Y. M. Desai, “Application of polymer composites in civil construction: A general review,” Composite Structures, vol. 84, no. 2, pp. 114–124, Jul. 2008, doi: 10.1016/j.compstruct.2007.06.007.
[2] H. Tuo, Z. Lu, X. Ma, J. Xing, and C. Zhang, “Damage and failure mechanism of thin composite laminates under low-velocity impact and compression-after-impact loading conditions,” Composites Part B: Engineering, vol. 163, pp. 642–654, Apr. 2019, doi: 10.1016/j.compositesb.2019.01.006.
[3] M. Holmes, “Global carbon fibre market remains on upward trend,” Reinforced Plastics, vol. 58, no. 6, pp. 38–45, Nov. 2014, doi: 10.1016/S0034-3617(14)70251-6.
[4] R. Yang and Y. He, “Optically and non-optically excited thermography for composites: A review,” Infrared Physics & Technology, vol. 75, pp. 26–50, Mar. 2016, doi: 10.1016/j.infrared.2015.12.026.
[5] P. Hong-Seok and T. U. Mani, “Development of an Inspection System for Defect Detection in Pressed Parts Using Laser Scanned Data,” Procedia Engineering, vol. 69, pp. 931–936, 2014, doi: 10.1016/j.proeng.2014.03.072.
[6] B. K. Shreyamsha Kumar, “Image fusion based on pixel significance using cross bilateral filter,” SIViP, vol. 9, no. 5, pp. 1193–1204, Jul. 2015, doi: 10.1007/s11760-013-0556-9.
[7] J. Ma, Z. Zhou, B. Wang, and H. Zong, “Infrared and visible image fusion based on visual saliency map and weighted least square optimization,” Infrared Physics & Technology, vol. 82, pp. 8–17, May 2017, doi: 10.1016/j.infrared.2017.02.005.
| Usage | Shares |
|---|---|
Total Views 105 Page Views |
Total Shares 0 Tweets |
105 0 PDF Downloads |
0 0 Facebook Shares |
| Total Usage | |
| 105 |