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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Vaz, M.
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Topics
Publications (8/8 displayed)
- 2023Lock-In Thermal Test Simulation, Influence, and Optimum Cycle Period for Infrared Thermal Testing in Non-Destructive Testingcitations
- 2022Analyzing the Influence of the Stimulation Duration in the Transient Thermal Test - Experimental and FEM Simulationcitations
- 2021Numerical Modeling and Prediction of Residual Stresses in AISI 316L and 18Ni300 Steels Produced by Selective Laser Meltingcitations
- 2017EVALUATION OF SURFACE ROUGHNESS OF DENTAL COMPOSITES SUBJECT TO DIFFERENT METHODS OF FINISHING AND POLISHING
- 2016A note on the thermal effects upon a Gurson-type material modelcitations
- 2014Flexural strength of glass fiber posts after sterilization by two different methods [Resistência à flexão de espigões de fibra de vidro após esterilização por 2 métodos distintos]
- 2011Moire Interferometry Assessement of Residual Stress Variation in Depth on a Shot Peened Surfacecitations
- 2009Measurement of Residual Stresses with Optical Techniquescitations
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article
Lock-In Thermal Test Simulation, Influence, and Optimum Cycle Period for Infrared Thermal Testing in Non-Destructive Testing
Abstract
Lock-in thermal tests (LTTs) are one of the best ways to detect defects in composite materials. The parameter that most affects their performance is the cycle period of the stimulation wave. Its influence on the amplitude-phase results was determined by performing various numeric simulations and laboratory tests. The laboratory tests were used to infer part of the simulation parameters, namely the input and output heat, corresponding to the stimulation and natural convection. The simulations and the analysis of their results focus on the heat flow inside the sample and the manner they change for different geometries. This was performed for poly(methyl methacrylate (PMMA) and carbon fiber-reinforced polymers (CFRPs). The simulation of these materials was also used to create prediction surfaces and equations. These predict the amplitude and phase for a sample with a thickness l and a cycle period. These new findings were validated with new laboratory tests and two new samples. These validated the prediction surfaces and equations and can now be used as a reference for future works and industrial applications.