Numerical Modelling of the Heat Source and the Thermal Response of an Additively Manufactured Composite during an Active Thermographic Inspection

• Published in: Materials Vol. 17; no. 1; p. 13
• Main Authors: Notebaert, Arnaud, Quinten, Julien, Moonens, Marc, Olmez, Vedi, Barros, Camila, Cunha, Jr, Sebastião Simões, Demarbaix, Anthonin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 19.12.2023; MDPI
• Subjects: active thermography; Additive manufacturing; Aircraft; Analysis; Carbon fiber reinforced plastics; composite; Composite materials; Continuous fibers; Defects; Fiber reinforced polymers; finite element model; Heat conductivity; Lamps; Mathematical models; Nondestructive testing; Numerical models; Radiation; Temperature; Temperature dependence; Thermal properties; Thermal response; Thermodynamic properties; Thermoelectricity; Thermography; Thermoplastics; active thermography; additive manufacturing; finite element model; radiation; composite
• ISSN: 1996-1944; 1996-1944
• DOI: 10.3390/ma17010013

This paper deals with the numerical modelling of non-destructive testing of composite parts using active thermography. This method has emerged as a new approach for performing non-destructive testing (NDT) on continuous carbon fibre reinforced thermoplastic polymer (CCFRTP) components, particularly in view of detecting porosity or delamination. In this context, our numerical model has been developed around references containing internal defects of various shapes and sizes. The first novelty lies in the fact that the heat source used in the experimental setup is modelled exhaustively to accurately model the radiation emitted by the lamp, as well as the convection and conduction around the bulb. A second novelty concerns the modelling of the CCFRTP making up the benchmark used. Indeed, its thermal properties vary as a function of the sample temperature. Therefore, the actual thermal properties have been experimentally measured and were later used in our model. The latter then captures the material dependency on temperature. The results obtained by our model proved to be in close agreement with the experimental results on real reference points, paving the way for future use of the model to optimise experimental configurations and, in particular, the heating parameters.