Study on in-plane thermal conduction of woven carbon fiber reinforced polymer by infrared thermography. (March 2018)

• Record Type: Journal Article
• Authors: Wu, Enqi; Gao, Qian; Li, Meihua; Shi, Yufang; Mandelis, Andreas
• Is Part Of: NDT & E international. Volume 94(2018)
• Page Start: 56
• Page End: 61
• Publication Date: 2018-03
• Subjects: Woven carbon fiber reinforced polymers -- Infrared thermography -- Anisotropy -- Thermal diffusivity -- Porosity; Nondestructive testing -- Periodicals; Contrôle non destructif -- Périodiques; Electronic journals; 620.1127
• DOI: 10.1016/j.ndteint.2017.11.007
• Languages: English
• ISSNs: 0963-8695

Abstract

Abstract: Infrared thermography (IRT) is introduced to measure the in-plane thermal conduction of woven carbon fiber reinforced polymers (CFRP). According to the principle of modulated laser heating, the relationship between the phase gradient and the in-plane thermal diffusivity has been deduced, and the experimental platform was established to test the 6 groups of CFRP test specimens with varied porosity. The measured infrared radiation signal was normalized by taking glassy carbon as the reference material, and the Gaussian filtering was applied to removing the noise of infrared thermal images. The experiment results show that the in-plane thermal conduction law in various directions is related to its conduction direction owing to the anisotropy of the CFRP. The in-plane thermal diffusivity of test specimens with different levels of porosity in each direction can be measured when the modulated laser frequency is lower than 1 Hz. In addition, the thermal diffusivity in each direction decreases with the increase of test specimens' porosity. Highlights: The in-plane thermal conduction of woven carbon fiber reinforced polymer (CFRP) was studied by infrared thermography. The suitable laser modulation frequency range for the thermal performance measurement of the CFRP samples was calculated. The phase slope between phase peak and equivalent Gaussian width could be obtained by the once degree polynomial fitting.