Results 71 to 80 of about 2,812 (173)

Preliminary Assessment of Quantitative Phase Analysis from Focal Construct Tomography

NDT - Journal of Non-Destructive Testing
New methods for real-time materials phase identification based upon focal construct tomography (FCT) have been examined. Such quantitative assessment has significant potential in sectors where in-line analysis is required, including screening within ...
Varsha Samuel, Daniel Spence, Liam Farmer, Simon Godber, Keith Rogers, Anthony Dicken   +5 more
doaj   +1 more source

Effect of Graphene Oxide on the Durability Properties of Poor-Quality Concrete Through Integrated Non-Destructive Testing

NDT - Journal of Non-Destructive Testing
Concrete is the most important construction material, and improving its durability properties is a topic in constant development owing to the economic costs that the degradation of concrete implies.
Jose A. Cabello-Mendez, Abraham Lopez-Miguel, Jose T. Perez-Quiroz, Alejandro Moreno-Valdes, Jose M. Machorro-Lopez, Ilse C. Castillo-Arteaga   +5 more
doaj   +1 more source

Integrating 3D Polarimetric Ground Penetrating Radar and Augmented Reality for Reinforced Autoclaved Aerated Concrete Inspection

NDT - Journal of Non-Destructive Testing
Radar polarimetric imaging for non-destructive testing is a powerful and flexible tool that can be used to enhance the detection of internal structures. In this study, reinforced autoclaved aerated concrete (RAAC) is measured using a polarimetric system ...
Samuel J. I. Forster, Daniel Conniffe, Anthony J. Peyton, Frank J. W. Podd, Nigel Davidson, Joshua B. Elliott   +5 more
doaj   +1 more source

An Experimental Study of Machine-Learning-Driven Temperature Monitoring for Printed Circuit Boards (PCBs) Using Ultrasonic Guided Waves

NDT - Journal of Non-Destructive Testing
Temperature has a significant impact on the operational lifetime of electronic components, as excessive heat can lead to accelerated degradation and ultimately failure.
Lawrence Yule, Nicholas Harris, Martyn Hill, Bahareh Zaghari   +3 more
doaj   +1 more source

Skin Cancer Detection and Classification Through Medical Image Analysis Using EfficientNet

NDT - Journal of Non-Destructive Testing
Skin cancer is one of the most prevalent and potentially lethal cancers worldwide, highlighting the need for accurate and timely diagnosis. Convolutional neural networks (CNNs) have demonstrated strong potential in automating skin lesion classification ...
Sima Das, Rishabh Kumar Addya
doaj   +1 more source

Elucidation of Electrical Characteristics for Apples (Malus domestica) Using Electrochemical Impedance Spectroscopy

NDT - Journal of Non-Destructive Testing
Dielectric characterization offers valuable insights into fruit structure, ripening, and storage stability. However, systematic studies on apples are still limited.
Shubhra Shekhar, Francisco J. Trujillo, Shubhpreet Kaur, Kamlesh Prasad   +3 more
doaj   +1 more source

Review of Non-Destructive Testing Techniques for Conveyor Belt Damage

NDT - Journal of Non-Destructive Testing
In coal mine production processes, conveyor belts are essential components. They play a crucial role in minimizing the risk of belt failure, enabling unmanned operations in hazardous environments, digitally monitoring production metrics, and facilitating
Licheng Sha, Wenbing Zhang, Jiujian Zhou, Chengyao Peng, Zhenchun Yu   +4 more
doaj   +1 more source

A Review: Non - Destructive Testing (NDT) Techniques, Applications and FutureProspects

Journal of Science and Technology
Published article from Journal of Science and Technology (JST).
openaire   +3 more sources

Human and organisational factors in the reliability of non-destructive testing (NDT)

, 2022
Non-destructive testing used in in-service inspections can be seen as a complicated activity system including three mutually related sub-activities: · definition of inspection programs and necessary resources, · carrying out diagnostic inspections, and · interpretation of the results from the view of plant safety and corrective ...
openaire   +3 more sources

Data driven algorithmic advances in defect detection of additively manufactured materials using non-destructive testing: a review. [PDF]

Front Artif Intell
Pawar S, Pujeri R, Pawar S, Pawar S, Derusova D.   +4 more
europepmc   +1 more source