[HTML][HTML] Machine learning algorithms for delaminations detection on composites panels by wave propagation signals analysis: Review, experiences and results

E Monaco, M Rautela, S Gopalakrishnan… - Progress in Aerospace …, 2024 - Elsevier
Performances are a key concern in aerospace vehicles, requiring safer structures with as
little consumption as possible. Composite materials replaced aluminum alloys even in …

A laser ultrasonic intelligent inspection method for metal surface defects based on digital twin model

Y Zhang, H Zhou, R Yao, M Wu - Measurement, 2024 - Elsevier
To enhance the efficiency and intelligence of laser ultrasonic detection of metal surface
defects, a detection method based on digital twins is proposed. Given the scarcity of defect …

[HTML][HTML] Transfer learning in guided wave testing of pipes

M Mroszczak, RE Jones, P Huthwaite… - Mechanical Systems and …, 2025 - Elsevier
Guided wave testing (GWT) is a non-destructive testing (NDT) technique extensively used
for in-service testing of pipes that allows the inspection of tens of metres of pipe in either …

Scattering matrix similarity metric optimization for improved defect characterisation based on dynamic graph attention networks

J Ren, Y Hu, H Cui, J Xu, L Bai - NDT & E International, 2024 - Elsevier
Ultrasonic scattering matrices contain rich defect information and have great potential for
characterising small crack-like defects. However, experimentally measured scattering …

Benchtop-AFP: an Exploration of Democratised Automated Fibre Placement

S McArthur, J Mehnen… - MATEC Web of …, 2024 - matec-conferences.org
This paper outlines the creation and evaluation of Benchtop-AFP, an innovative approach to
producing composite materials akin to Automated Fibre Placement (AFP) but without the …

[HTML][HTML] Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites

V Tunukovic, S McKnight, R Pyle, Z Wang, E Mohseni… - Ultrasonics, 2024 - Elsevier
Abstract The use of Carbon Fibre Reinforced Plastic (CFRP) composite materials for critical
components has significantly surged within the energy and aerospace industry. With this …

Exploring the role of explainable AI in the development and qualification of aircraft quality assurance processes: A case study

B Milcke, P Dinglinger, J Holtmann - World Conference on Explainable …, 2024 - Springer
Quality assurance using non-destructive inspection (NDI) is an essential domain in aircraft
manufacturing that can benefit greatly from the latest developments in artificial intelligence …

Quantitative evaluation of spheroidisation in 15CrMo steel based on deep learning

J Li, Z Liu, Y Zheng, Z Zhang, C He - Nondestructive Testing and …, 2024 - Taylor & Francis
ABSTRACT 15CrMo steel has good mechanical properties and is widely used in high-
temperature pressure components. After long term service, it is easy to cause material …

Considerations for an in-process ultrasonic phased array inspection method for narrow gap welds

E Nicolson - 2024 - stax.strath.ac.uk
The nuclear industry in the UK has seeing a resurgence in recent years, joining the race to
net-zero energy production through renewable sources. This has led to an increasing …

Effect of lock-in thermography test parameters on classifying defects in CFRP by means of a convolutive neural network

T Matarrese, R Marani, D Palumbo… - Thermosense …, 2024 - spiedigitallibrary.org
Lock-in thermography is a well-established non-destructive technique for detecting defects
in composite materials. The qualitative analysis of defects is a challenging task and usually …