REPARTI Seminars

The REPARTI Seminars at Université Laval are held on Fridays at 11:30 a.m.
Please see the program for more details.






Dec 9 2016 11:30AM

Frank Billy Djupkep Dizeu
Laboratoire LVSN
Dép. de génie électrique et de génie informatique, Université Laval

Three-dimensional quantitative nondestructive testing of objects of complex shape using infrared thermography


On the basis of its thermal behaviour, the state of an object can be evaluated, without damages and without contact, using infrared thermography. The result of the nondestructive evaluation of an object can be qualitative (location of areas with defects) or quantitative (determination of the defects' depth and size). Quantitative nondestructive testing (QNDT) using infrared thermography (IRT) can be viewed as an inverse geometry problem which consists in reconstructing the internal geometry and the rear surface of the inspected object using the temperature history measured on its frontal surface. We present a method for QNDT of objects of complex shape using IRT. The final objective is to be able to reconstruct the rear surface of such objects whatever their geometry. For that three steps are involved. We first propose a three-dimensional model for NDT using IRT and we develop a 3D meshless solver which has many advantages (computing time, adaptability to complex domains, ease of coding and implementation) compared to mesh-based solvers. The second step consists in determining the heat flux density resulting from the external thermal stimulus on the frontal surface. This spatiotemporal heat flux density is determined using only the temperature measured on the frontal surface by an infrared camera and the 3D point cloud of the frontal surface collected by a 3D scanner. The third step is the reconstruction of the rear surface of the inspected object. This is possible by solving an inverse geometry problem after a suitable parametrization of the unknown surface.

Note: The seminar will be presented at 11:30 a.m. in room PLT-1120.


©2002-. Computer Vision and Systems Laboratory. All rights reserved