Gaussian windowed frequency modulated thermal wave imaging for non-destructive testing and evaluation of carbon fibre reinforced polymers

被引：16

作者：

Dua, Geetika ^{[1
]}

Mulaveesala, Ravibabu ^{[1
]}

Kher, Vansha ^{[1
]}

Rani, Anju ^{[1
]}

机构：

[1] Indian Inst Technol Ropar, Dept Elect Engn, IRIL, Nangal Rd, Rupnagar 140001, Punjab, India

来源：

INFRARED PHYSICS & TECHNOLOGY | 2019年 / 98卷

关键词：

Thermal wave imaging; Frequency modulation; Matched filter; Signal to noise ratio; PULSE-COMPRESSION APPROACH; LOCK-IN THERMOGRAPHY; INSPECTION; SHEET;

D O I：

10.1016/j.infrared.2019.03.007

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Infrared thermographic techniques show their potential usage for non-destructive testing and evaluation of various materials due to their inherent capabilities such as safe, full field, remote, qualitative and quantitative defect detection capabilities. In this paper, a Gaussian Weighted Frequency Modulated Thermal Wave Imaging approach is reported for detection of sub-surface defects in Carbon Fiber Reinforced Polymer (CFRP) sample for a given frequency modulated incident heat flux. Artificial flat bottom holes and metallic inclusions as subsurface defects are prepared for the experimental investigation. Matched filter algorithm is applied for detection of sub surface defects by correlation coefficient images and compared the detection capabilities with conventional frequency domain phase images. The effect of spectral reshaping on frequency modulated thermal wave imaging is investigated. The results of the experiments show spectral reshaping is the most suitable selection for enhancing inspection capability and obtaining the highest Signal to Noise Ratio (SNR) for a given CFRP material.

引用

页码：125 / 131

页数：7

共 33 条

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