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Study on the Detection of CFRP Material with Subsurface Defects Using Barker-Coded Thermal Wave Imaging (BC-TWI) as a Nondestructive Inspection (NDI) Tool

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Abstract

In this paper, a Barker-coded thermal wave imaging approach is reported on the detection of carbon fiber reinforced polymer (CFRP) laminate with subsurface defects, using an integrated Barker code sequence and sinusoidal carrier-modulated laser as the excitation source. Artificial flat bottom holes as subsurface defects are prepared for the experimental investigation. Cross-correlation (CC) algorithm is applied for extracting characteristics of thermal wave signal and forming the corresponding peak delay time and phase images. The effects of Barker code sequence length and carrier-modulated frequency are investigated, which are both most important factors on the detectability of BC-TWI method. The results of the experiments show 5-bit Barker code and 0.1 Hz carrier frequency are the most suitable selection for enhancing inspection capability and obtaining the highest image SNR for a given CFRP laminate material. Furthermore, a comparative experiment is carried out between BC-TWI and lock-in thermography (LIT) method by taking the defect contrast and SNR into account. The results indicate that the BC-TWI CC phase image has higher contrast and SNR than the LIT phase image.

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Acknowledgments

This work was supported by the Foundation for Innovative Research Groups of the National Nature Science Foundation of China under Grant No. 51521003, the Chinese National Natural Science Foundation under Contract Nos. 61571153, 51173034, Self-planned Task of State Key Laboratory of Robotics and System (HIT) and the Programme of Introducing Talents of Discipline of Universities (Grant No. B07108) for the research support.

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Authors and Affiliations

  1. School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, 150001, People’s Republic of China

    Qianzhu Shi & Wanyu Liu

  2. School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, People’s Republic of China

    Qianzhu Shi

  3. School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, 150001, People’s Republic of China

    Junyan Liu & Yang Wang

  4. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, People’s Republic of China

    Junyan Liu & Yang Wang

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  1. Qianzhu Shi
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  2. Junyan Liu
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  3. Yang Wang
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  4. Wanyu Liu
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Correspondence to Junyan Liu.

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Shi, Q., Liu, J., Wang, Y. et al. Study on the Detection of CFRP Material with Subsurface Defects Using Barker-Coded Thermal Wave Imaging (BC-TWI) as a Nondestructive Inspection (NDI) Tool. Int J Thermophys 39, 92 (2018). https://doi.org/10.1007/s10765-018-2416-x

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  • DOI: https://doi.org/10.1007/s10765-018-2416-x

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