研究目的
Investigating the effects of thermal aging on Al6061 alloy using laser-generated surface acoustic waves to nondestructively evaluate material degradation and changes in mechanical properties.
研究成果
The study demonstrates that acoustic nonlinearity measurements using laser-generated SAWs are effective for nondestructively evaluating microstructural changes and material degradations in Al6061 alloy due to thermal aging. The technique is sensitive to critical changes in mechanical properties and can be used for structural health monitoring.
研究不足
The study focuses on Al6061 alloy and may not be directly applicable to other materials without further research. The experimental setup requires precise control of laser and interferometer parameters, which may limit its practical application in some industrial settings.
1：Experimental Design and Method Selection:
The study used a surface acoustic wave (SAW) generated by a pulsed laser to measure acoustic nonlinearity and mechanical properties of Al6061 alloys heat-treated at 220°C for different durations. The SAW was received by an interferometer. Tensile tests were conducted to measure yield strength, ultimate strength, and elongation to failure. Transmission electron microscopy (TEM) was used to observe microstructural changes.
2：Sample Selection and Data Sources:
Aluminum alloy specimens (Al6061) were heat-treated for eight different durations to simulate varying levels of thermal aging. Two samples from each specimen were used for tensile tests.
3：List of Experimental Equipment and Materials:
Nd:YAG pulsed laser (Spectron Laser Systems), laser interferometer (Tecnar), MTS Landmark Servohydraulic Test System for tensile tests, JEM-2100F TEM (JEOL).
4：Experimental Procedures and Operational Workflow:
Specimens were heat-treated, then subjected to SAW generation and reception for acoustic nonlinearity measurement. Tensile tests were performed following ASTM E8M standard. TEM images were taken to observe microstructural changes.
5：Data Analysis Methods:
Acoustic nonlinearity parameters were calculated from the frequency components of the received SAW signals. Linear regression was used to analyze the relationship between the squared magnitude of the fundamental frequency component and the magnitude of the second-order harmonic frequency component.
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