Electromagnetic Non-Destructive Testing and Evaluation

Dear Colleagues,

In light of potential structural failure and incidents, the safety of engineering structures has received much attention worldwide. Approaches for non-destructive monitoring, inspection and evaluation of the integrity of mechanical structures such as oil/gas pipelines, fuel tanks, aero-engines, etc., during their fabrication/construction and in-service operations before catastrophic accidents occur are crucial and in high demand.

Hitherto, Electromagnetism-based Non-destructive Testing and Evaluation (NDT&E) techniques, such as eddy current testing and magnetic flux leakage testing, have been used in the detection, characterisation and assessment of critical flaws (Stress Corrosion Cracks, Flaw Acculturated Corrosion, Liquid Droplet Impingement Erosion, etc.) that have posed a threat to the structural integrity. However, none of these techniques are universal and could be taken as the skeleton key to the issue regarding NDT&E of in-service structures. In view of this, more and more advanced Electromagnetic Non-destructive Testing methods have been proposed and complementary to the current techniques.

We invite researchers to contribute overviews and original articles focusing on electromagnetic non-destructive testing and the evaluation of critical components and structures in the engineering fields, including aerospace, energy, chemical and transportation, etc. Potential topics include but are not limited to the following:

• Electromagnetic non-destructive testing and evaluation;
• Eddy current testing;
• Eddy current thermography;
• Electromagnetic acoustic transduction;
• Microwave and millimeter wave testing;
• Magnetism-based testing (Barkhausen noise analysis, Magnetic incremental permeability, Magnetic memory testing, etc.);
• Electromagnetic field sensing;
• Forward and inverse modelling of electromagnetic non-destructive testing;
• Defect imaging, assessment and reconstruction;
• Defect characterisation and identification;
• Material characterisation and classification.

Dr. Yong Li
Guest Editor

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