Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
Optically and non-optically excited thermography for composites: A review
Composites, such as glass fiber reinforced polymer (GFRP) and carbon fiber reinforced
polymer (CFRP), and adhesive bonding are being increasingly used in fields of aerospace …
polymer (CFRP), and adhesive bonding are being increasingly used in fields of aerospace …
Temporal and spatial deep learning network for infrared thermal defect detection
Most common types of defects for composite are debond and delamination. It is difficult to
detect the inner defects on a complex shaped specimen by using conventional optical …
detect the inner defects on a complex shaped specimen by using conventional optical …
Inspection of concrete structures externally reinforced with FRP composites using active infrared thermography: A review
Fiber reinforced polymer (FRP) composites have become one of the most important
strengthening and retrofitting materials for reinforced concrete structures. However, these …
strengthening and retrofitting materials for reinforced concrete structures. However, these …
Sparse principal component thermography for subsurface defect detection in composite products
Active thermography is an efficient and powerful technique for nondestructive testing of
products made of composite materials, which enables rapid inspection of large areas …
products made of composite materials, which enables rapid inspection of large areas …
IRT-GAN: A generative adversarial network with a multi-headed fusion strategy for automated defect detection in composites using infrared thermography
InfraRed Thermography (IRT) is a valuable diagnostic tool to non-destructively detect
defects in fiber reinforced polymers. Often, a range of processing techniques are applied, eg …
defects in fiber reinforced polymers. Often, a range of processing techniques are applied, eg …
Independent component thermography for non-destructive testing of defects in polymer composites
Thermographic data processing and analysis is critical for effective infrared thermography
non-destructive testing of defects in composite materials. In this research work, the concept …
non-destructive testing of defects in composite materials. In this research work, the concept …
A thermographic data augmentation and signal separation method for defect detection
K Liu, Y Tang, W Lou, Y Liu, J Yang… - … Science and Technology, 2021 - iopscience.iop.org
Non-destructive testing is a popular technique for defect assessment of composite materials,
where machine learning models become more important in its data analysis. Nevertheless …
where machine learning models become more important in its data analysis. Nevertheless …
Application of pulsed thermography and post-processing techniques for CFRP industrial components
FW Panella, A Pirinu - Journal of Nondestructive Evaluation, 2021 - Springer
Several studies demonstrate the effectiveness of pulsed thermography for detection and
visualization of sub-superficial flaws in composites. Continuous improvement of thermal data …
visualization of sub-superficial flaws in composites. Continuous improvement of thermal data …
[HTML][HTML] Electroluminescent strain sensing on carbon fiber reinforced polymer
The present paper demonstrates an inexpensive and less labor-intensive machine vision-
based strain and damage visualization technique compared to traditional carbon fiber …
based strain and damage visualization technique compared to traditional carbon fiber …