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Inversion of Photo-Thermal Parameters of Materials and Depth Profile Imaging

Author: GaoYongWei
Tutor: LvYueKai
School: Ningxia University
Course: Condensed Matter Physics
Keywords: Green's function Pulse spectrum Distribution inversion Cross-sectional imaging Travel time transform Finite Difference Method
CLC: O482
Type: Master's thesis
Year: 2005
Downloads: 51
Quote: 0
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Abstract


The thermal conductivity is the inverse problem in practice a wide range of applications , material photothermal parameters inversion problem to solve practical problems will be a very important reference value and theoretical significance . This paper aims to study the thermal conduction and solar thermal parameter distribution inversion problem . First, the basic concept of the inverse problem and the heat transfer inverse problem , and the main work ; Secondly , the use of parabolic heat conduction model reconstructed by solving the Green's function , the internal heat source in the sample along the depth the distribution of the directions ( the continuous distribution and step distribution) . And based on the relationship between the heat distribution and the material light absorption coefficient , and thus the depth direction distribution of the light absorption coefficient of materials . The depth of cross - sectional imaging of the sample , can be realized according to the reconstructed data . To be closer to the actual problem , we have to consider the impact of noise on the inversion results ; Third , analysis of certain factors that affect the inversion results , and put forward some countermeasures . For example , on a the thicker scale samples inversion problem , we double-sided sampling mode reconstruction of the sample optical absorption coefficient and heat distribution made ??; Fourth, the sample surface signal ( amplitude spectrum ) of the heat source and the optical absorption coefficient the sensitivity of the distribution formula . By numerical calculation , analysis of the signal transformation through a variety of travel time , containing multiple thermal parameters of the heat transfer model is converted to a lumped parameter heat transfer model , thus achieving the sensitivity of the heat source and the optical absorption coefficient ; class thermal parameters inversion ; hyperbolic heat conduction model , using the finite difference method for processing a sample under pulsed laser hyperbolic heat conduction transient process , and integral transform calculated results are compared ; at the end of this article , is a summary of the full text , and the work done prospected .

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