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Recent Trends in Non-Destructive Testing Approaches for Composite Materials: A Review of Successful Implementations
Jan Lean Tai1, Mohamed Thariq Hameed Sultan1,2,3, Andrzej Łukaszewicz4
1Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.
Non-destructive testing (NDT) methods are vital for composite material integrity. This review highlights recent NDT trends and techniques for defect detection, emphasizing multimodal systems and AI for advanced quality assurance.
Area of Science:
- Materials Science
- Engineering
- Nondestructive Testing
Background:
- Composite materials are crucial in aerospace and renewable energy sectors.
- Structural integrity and defect detection in composites necessitate robust Non-destructive Testing (NDT) methods.
Purpose of the Study:
- To review recent trends and successful implementations of NDT techniques for composite materials (2015-2025).
- To provide insights into the capabilities and limitations of various NDT methods.
- To suggest future research directions for enhanced composite quality control.
Main Methods:
- Systematic literature review of 120 articles published between 2015 and 2025.
- Analysis of techniques including ultrasonic testing (UT), acoustic emission testing (AET), thermography (TR), radiographic testing (RT), eddy current testing (ECT), infrared thermography (IRT), X-ray computed tomography (XCT), and digital radiography testing (DRT).
Main Results:
- Identified key NDT methods for detecting defects like debonding, delamination, and voids in fiber-reinforced polymer (FRP) composites.
- Demonstrated that the choice of NDT depends on material properties, defect types, and testing conditions.
- Highlighted that combining multiple NDT methods improves composite quality assessment.
Conclusions:
- NDT plays a critical role in ensuring the reliability of composite materials.
- Future trends point towards multimodal NDT, digital twin integration, Industry 4.0, embedded structural health monitoring, and AI for automated defect interpretation.
- Advancements aim to transform NDT into an intelligent, predictive, and integrated quality assurance system.
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