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Self-Sensing Nonlinear Ultrasonic Fatigue Crack Detection under Temperature Variation

机译:温度变化下自感应非线性超声疲劳裂纹检测

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This paper proposes a self-sensing nonlinear ultrasonic technique for fatigue crack detection under temperature variations. Fatigue cracks are identified from linear (alpha) and nonlinear (beta) ultrasonic parameters recorded by a self-sensing piezoelectric transducer (PZT). The self-sensing PZT scheme minimizes the data acquisition system's inherent nonlinearity, which often prevents the identification of fatigue cracks. Also, temperature-dependent false alarms are prevented based on the different behaviors of alpha and beta The proposed technique was numerically pre-validated with finite element method simulations to confirm the trends of alpha and beta with changing temperature, and then was experimentally validated using an aluminum plate with an artificially induced fatigue crack. These validation tests reveal that fatigue cracks can be detected successfully in realistic conditions of unpredictable temperature and that positive false alarms of 0.12% occur.
机译:本文提出了一种自感的非线性超声波技术,用于在温度变化下进行疲劳裂纹检测。 由自感应压电传感器(PZT)记录的线性(α)和非线性(β)超声参数鉴定疲劳裂缝。 自感应PZT方案最小化数据采集系统的固有非线性,这通常防止抗疲劳裂缝的识别。 此外,基于α和β的不同行为来防止温度依赖性误报,该技术在数值上预先验证了有限元方法模拟,以确认具有变化温度的α和β的趋势,然后使用一个实验验证 铝板具有人为诱导的疲劳裂缝。 这些验证测试显示,可以在不可预测的温度的现实条件下成功检测疲劳裂缝,并且发生0.12%的正误报。

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