Research on Debonding Defects in Thermal Barrier Coatings Structure by Thermal-Wave Radar Imaging (TWRI)

Research on Debonding Defects in Thermal Barrier Coatings Structure by Thermal-Wave Radar Imaging (TWRI)
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DOI:
10.1007/s10765-018-2390-3
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发表时间:
2018-04
影响因子:
2.2
通讯作者:
Fei Wang;Junyan Liu;Oliullah Mohummad;Yang Wang
Fei Wang;Junyan Liu;Oliullah Mohummad;Yang Wang
中科院分区:
工程技术4区
文献类型:
--
作者:
Fei Wang;Junyan Liu;Oliullah Mohummad;Yang Wang

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本文采用热波雷达成像(TWRI)技术检测sic包覆镍基高温合金板的脱粘缺陷。激励信号采用线性调频信号(chirp),其时间带宽积较大。利用啁啾信号调制光强的激光束激发SiC涂层中的人工脱粘缺陷。引入互相关算法和啁啾锁定算法提取热波信号特征。对TWRI反射模式和透射模式进行了对比实验。通过实验研究了激光功率密度、啁啾周期和激发频率对激光啁啾特性的影响。实验结果表明,啁啾锁相比其他特征参数具有更好的检测能力。TWRI可以有效地检测出sic涂层镍基高温合金板的模拟脱粘缺陷。
In this paper, thermal-wave radar imaging (TWRI) is introduced to detect debonding defects in SiC-coated Ni-based superalloy plates. Linear frequency modulation signal (chirp) is used as the excitation signal which has a large time–bandwidth product. Artificial debonding defects in SiC coating are excited by the laser beam with the light intensity modulated by a chirp signal. Cross-correlation algorithm and chirp lock-in algorithm are introduced to extract the thermal-wave signal characteristic. The comparative experiment between TWRI reflection mode and transmission mode was carried out. Experiments are conducted to investigate the influence of laser power density, chirp period, and excitation frequency. Experimental results illustrate that chirp lock-in phase has a better detection capability than other characteristic parameters. TWRI can effectively detect simulated debonding defects of SiC-coated Ni-based superalloy plates.