Abstract
Electromagnetic mechanism of Joule heating and thermal conduction on conductive material characterization broadens their scope for implementation in real thermography based Nondestructive testing and evaluation (NDT&E) systems by imparting sensitivity, conformability and allowing fast and imaging detection, which is necessary for efficiency. The issue of automatic material evaluation has not been fully addressed by researchers and it marks a crucial first step to analyzing the structural health of the material, which in turn sheds light on understanding the production of the defects mechanisms. In this study, we bridge the gap between the physics world and mathematical modeling world. We generate physics-mathematical modeling and mining route in the spatial-, time-, frequency-, and sparse-pattern domains. This is a significant step towards realizing the deeper insight in electromagnetic thermography (EMT) and automatic defect identification. This renders the EMT a promising candidate for the highly efficient and yet flexible NDT&E.
Highlights
Electromagnetic mechanism of Joule heating and thermal conduction on conductive material characterization broadens their scope for implementation in real thermography based Nondestructive testing and evaluation (NDT&E) systems by imparting sensitivity, conformability and allowing fast and imaging detection, which is necessary for efficiency
electromagnetic thermography (EMT) can only work with conductive material and it has already been applied in small defects detection for compressor blades[16], impact damage and delamination detection of composite[17,18], probability of detection (POD) estimation[10] of fatigue cracks and multiple cracks detection
Several thermal transient response features have been used as an indicator of defect status, which is critical for acceptance/rejection decisions for maintenance and lifetime prediction[23]
Summary
Electromagnetic mechanism of Joule heating and thermal conduction on conductive material characterization broadens their scope for implementation in real thermography based Nondestructive testing and evaluation (NDT&E) systems by imparting sensitivity, conformability and allowing fast and imaging detection, which is necessary for efficiency. We generate physics-mathematical modeling and mining route in the spatial-, time-, frequency-, and sparse-pattern domains This is a significant step towards realizing the deeper insight in electromagnetic thermography (EMT) and automatic defect identification. Thermal testing is used for defect characterization and material property evaluation and inspection since it is completely noncontact and offers for the rapid inspection over a large area within a short time. Running temperature contrast method[19] uses the source temperature image which is replaced with the image of the defective thermal image divided by the non-defective thermal image where the process is independent of heating power This method requires manually selection and it may enhance random noise as well. This ambiguous case prevents the use of thermal testing based NDT&E in automated environments
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
