Automatic ultrasonic inspection for internal defect detection in composite materials

By T. D’orazio, Marco Leo, A. Distante, C. Guaragnella, V. Pianese, G. Cavaccini. 2008

141 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/55dcb4fc06c02f47ae7fd50b590836a4e6ead214

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Thomas Blumensath
2. Richard P. Boardman
3. Ander Biguri
4. Hossein Towsyfyan

In Mechanical Engineering

1. Thomas Blumensath
2. Richard P. Boardman
3. Ander Biguri
4. Hossein Towsyfyan

In Mechanics of Materials

1. Thomas Blumensath
2. Richard P. Boardman
3. Ander Biguri
4. Hossein Towsyfyan

Citations in the corpus

• Successes and challenges in non-destructive testing of aircraft composite structures (2020, background): “Among different type of UT representation methods [59-61], UT C-scan is a valuable tool to monitor the transmission losses caused by delamination and disbonds, volumetric defects including voids [62, 63] and damage detection in composite laminates under both low”
• Analyses of internal structures and defects in materials using physics-informed neural networks (2022, unknown): “Experimental techniques have so far been developed for different materials based on ultrasound (54), active thermography (55), eddy current (56, 57), optical coherent tomography (58), and microwave (59).”