• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (8): 1-8.doi: 10.3901/JME.2023.08.001

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Inversion Principle and Application of Ultrasonic Detecting Surface or Interface Integrity Parameters of Aviation Functional Coatings

LIN Li1, MA Zhi-yuan1, SUN Luo-ming1, LUO Zhong-bing1, LEI Ming-kai2   

  1. 1. NDT & E Laboratory, Dalian University of Technology, Dalian 116024;
    2. School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024
  • Received:2022-01-15 Revised:2022-10-28 Online:2023-04-20 Published:2023-06-16

Abstract: Accurate control of surface/interface integrity parameters included defect, geometry, structure, and property of thermal barrier coatings, absorbing coatings, and other aviation functional coatings is of great importance to balance their comprehensive performance. A new principle of ultrasonic detecting surface/interface integrity parameters of aviation functional coatings is presented.Based on the response mechanism of ultrasonic propagation in multi-interface coating structure, a material-oriented regularization strategy of characteristic detection signal is proposed, which includes model regularization, data regularization, and sensitivity matrix analysis. A sensitivity matrix based inversion method of ultrasonic detecting surface/interface integrity parameters is developed according to the correlation between characteristic detection signal and surface/interface integrity parameters. Taking the ultrasonic detection of elastic constants of plasma sprayed Al2O3 coating as an example, the validity of proposed ultrasonic detection principle is illustrated.Resultsshow that the inversed elastic constants C11, C13, C33, and C44 of Al2O3 coating are 158.9 GPa, 44.1 GPa, 244.1GPa, and 31.6 GPa, respectively, and the relative errors between them and the experimental results are less than 4.5 %. The proposed ultrasonic inversion principle provides an effective path for solving the complex ultrasonic non-destructive detecting problems with multiple unknown parameters which are difficult for traditional “trial-and-error” ultrasonic detecting methods.

Key words: coating, surface/interface integrity, ultrasonic detection, parameter inversion, sensitivity matrix

CLC Number: