研究目的
To develop a new acoustic emission on-line monitoring method for laser shock peening (LSP) that overcomes the limitations of traditional non-destructive testing methods and evaluates the quality of LSP in a unified standard.
研究成果
The study successfully developed a new acoustic emission on-line monitoring method for LSP that considers the propagation characteristics of AE signals and the planar positioning function of AE. This method allows for the calculation of AE energy of material, which reflects the intensity of shock waves and can evaluate the quality of LSP in real-time. The AE energy of material increases with pulse laser energy, indicating its potential for on-line monitoring of LSP. The method is simple to implement and has low time cost, benefiting its further application in AE on-line monitoring of LSP.
研究不足
The study acknowledges that the initial signals cannot be accurately used to evaluate the quality of LSP due to the distance factor affecting the attenuation of AE signals. The method requires the arrangement of multiple AE sensors and the calculation of AE energy from detected waveforms and characteristic parameters, which may add complexity to the monitoring process.
1：Experimental Design and Method Selection:
The study focuses on the propagation characteristics of acoustic emission (AE) signals and the planar positioning function of AE to calculate the AE energy of material from detected waveforms and characteristic parameters.
2：Sample Selection and Data Sources:
45# steel forging plates were used as experimental samples, prepared by wire cutting and polished to a specific surface roughness.
3：List of Experimental Equipment and Materials:
The SAEU4H-1016-04 AE system, including a laptop with SWAE4 AE system software, SAEU3H AE instrument, PAS20/40/60dB gain adjustable preamplifier, and SR150M AE sensor, was used. The LSP system is SIA-LSP-1 series LSP system.
4：Experimental Procedures and Operational Workflow:
The propagation characteristic test for AE signals was conducted using the standard pencil lead-breakage test by Nelson N. Hsu method. AE on-line monitoring experiments of LSP were performed with three AE sensors arranged in samples to calculate the AE energy of material.
5：Data Analysis Methods:
The AE energy was calculated based on the propagation law of AE signals and the planar positioning calculation method of AE signals.
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