Application Cases

Experiment Name: Research on Damage Localization in Carbon Fiber Composite Laminates Based on Ultrasonic Guided Waves

Experiment Content:
To achieve damage localization and visualization in carbon fiber composite laminate structures, this study proposes an active ultrasonic guided wave-based damage imaging method for composite laminates. The method leverages the propagation characteristics of ultrasonic guided waves within the material and their interaction with damage. By using sensors and excitation devices to generate and receive guided wave signals, combined with imaging algorithms and deep learning for signal analysis, the localization and visual representation of damage in composite laminate structures are achieved.

Experimental Equipment:
ATA-2021B high-voltage amplifier, signal generator, oscilloscope, ATA-5620 pre-amplifier for small signals, computer, etc.

Experimental Procedure:

Figure 1: Experimental Setup and Physical Setup Diagram

The test specimen is a carbon fiber composite laminate. A signal generator produces excitation signals with specific frequencies and waveforms. These excitation signals are then sent to the ATA-2021B high-voltage amplifier for amplification. The amplified excitation signals are applied to the carbon fiber composite laminate via piezoelectric sensors. Another set of piezoelectric sensors receives the guided wave signals reflected or transmitted through the damage. The received signals are recorded by a data acquisition system and transmitted to a data processing system. Through imaging algorithms and deep learning techniques, the extracted signal features are analyzed to identify and localize damage within the laminate.

Experimental Results:

Figure 2: Experimental Results

The ATA-2021B high-voltage amplifier accurately amplifies the excitation signals, enabling the piezoelectric sensors to effectively generate ultrasonic guided waves. There are significant differences in the ultrasonic guided wave response signals obtained from damaged and healthy laminates. By employing imaging algorithms and deep learning techniques, damage features can be effectively extracted, achieving spatial localization and visual representation of damage in carbon fiber composite laminate structures.

Performance of the Power Amplifier: Amplifies excitation signals with high precision and stability.

Recommended Voltage Amplifier: ATA-2021B High-Voltage Amplifier

Figure: ATA-2021B High-Voltage Amplifier Specifications

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