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Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window
Hossam Selim1, José Trull2, Miguel Delgado Prieto3
1Physics Department, Universitat Politècnica de Catalunya, Rambla Sant Nebridi 22, 08222 Terrassa, Barcelona, Spain. hossam.eldin.mohamed.selim@upc.edu.
A new hybrid laser-ultrasound system enables 3D reconstruction of internal defects in metallic objects. This noncontact method improves defect imaging for enhanced quality control and material analysis.
Area of Science:
- Materials Science and Engineering
- Non-Destructive Testing
- Ultrasonic Imaging
Background:
- Quality control in industrial branches relies on nondestructive testing (NDT) for metallic objects.
- Current NDT methods often lack sufficient detail for precise 3D defect reconstruction.
- Accurate defect characterization is crucial for ensuring structural integrity and product reliability.
Purpose of the Study:
- To develop a fully noncontact hybrid system for 3D reconstruction of embedded defects.
- To enhance defect imaging by improving signal processing techniques.
- To provide accurate volumetric data for defect location and size determination.
Main Methods:
- A hybrid system combining laser-generated ultrasound excitation and noncontact ultrasonic transducer detection was employed.
- The system allows scanning from multiple perspectives for comprehensive data acquisition.
- A 2D apodization window filtering technique was integrated with the synthetic aperture focusing algorithm for signal enhancement.
Main Results:
- The hybrid system successfully generated 3D reconstruction images of embedded defects.
- The novel signal processing technique effectively reduced artifacts from side lobes and wide-angle reflections.
- Qualitative and quantitative volumetric data regarding defect location and size were obtained.
Conclusions:
- The developed hybrid laser-ultrasound system offers a robust solution for 3D defect reconstruction in metallic components.
- This noncontact approach enhances defect visualization and characterization accuracy.
- The method provides valuable insights for industrial quality control and material assessment.
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