Monitoring of Industrial Equipment Using Thermography Technique in Passive and Active Form

Khathyri, Fatima; Abouelanouar, Bouchra; Elkihel, Ali; Berrehili, Abd al Motalib

doi:10.1007/978-981-15-6259-4_12

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…In recent years, due to the quick, full-field and non-contacted detection capabilities [16,17], infrared thermography (IRT) has been used in human medicine [18,19], aerospace material [20], building diagnostics [21,22], nuclear power transportation [23,24], etc. Compared with the passive IRT, the active one allows the inspection of objects which do not emit heat and allows more information about the defect (location and size) in just a few seconds [25,26]. Zhuo et al [27] had a size determination of interior defects by reconstruction of subsurface virtual heat flux, bringing an improvement in the detection of low width-to-depth ratio defects using IRT.…”

Section: Introductionmentioning

confidence: 99%

Reference-free infrared thermography detection with subsurface heating for deep cavity in adhesive of hidden frame glass curtain wall

Hong

Chen

Lin

et al. 2023

Meas. Sci. Technol.

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Since the current infrared thermography (IRT) is not effective in detecting deep and invisible cavity in silicone structural adhesive of hidden frame glass curtain wall (HFGCW), a reference-free infrared thermography with subsurface heating for deep cavity is proposed. A near-infrared linear laser with high energy density and high transmission is chosen as the subsurface heating source to directly heat the silicone structural adhesive through the glass. Temporal sequence reconstruction and imaging enhancement based on reference-free calibration are proposed to reduce thermal unevenness and thermal noise, and ensure comparable results of damage detection under different environments. The effects of traditional surface heating and subsurface heating are compared and analyzed through numerical simulations. And an evaluated feature, maximal temperature difference feature (MTDF), derived from temperature difference is used to quantitatively analyze the thermal effect caused by different cavities. The subsurface heating simulation results showed that the highest temperature difference between area with cavity and non-defect area is 88% higher than that of traditional surface heating. The experiments revealed that the deep cavities of different lengths, located at 7 mm, 9 mm, and 11 mm below the glass surface, can be successfully detected using subsurface heating and reference-free calibration. A quadratic linear model was proposed to reflect the relationship between depths and lengths of cavities. In conclusion, the proposed method can protect the hidden frame glass curtain wall from deep and invisible cavities that can reduce its adhesion and strength.

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