Quantitative evaluation of surface crack depth with laser spot thermography

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dc.contributor.author Qiu, Jinxing
dc.contributor.author Pei, Cuixiang
dc.contributor.author Liu, Haochen
dc.contributor.author Chen, Zhenmao
dc.date.accessioned 2019-11-15T11:32:12Z
dc.date.available 2019-11-15T11:32:12Z
dc.date.issued 2019-02-28
dc.identifier.citation Qiu J, Pei C, Liu H, Chen Z. (2017) Quantitative evaluation of surface crack depth with laser spot thermography. International Journal of Fatigue, Volume 101, Issue 1, August 2017, pp. 80-85 en_UK
dc.identifier.issn 0142-1123
dc.identifier.uri https://doi.org/10.1016/j.ijfatigue.2017.02.027
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/14739
dc.description.abstract In this study, a numerical method based on finite element method (FEM) is developed to simulate the heat flow generated by laser spot source and investigate the relationship between crack size and temperature distribution. The feasibility of the simulation method is validated by experiments both in time and spatial domains. The simulation and experiment results also show that the crack depth can be described by two characteristic parameters. Furthermore, a quantitative retrieval method based on neural network is developed for the crack depth evaluation by using the parameters. By using the proposed method, crack depth can be determined only by analyzing measured surface temperature values. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Laser spot thermography en_UK
dc.subject Surface crack en_UK
dc.subject Quantitative evaluation en_UK
dc.subject Neural network en_UK
dc.title Quantitative evaluation of surface crack depth with laser spot thermography en_UK
dc.type Article en_UK


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