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dc.contributor.authorSagarduy Marcos, David
dc.contributor.authorRodríguez Aseguinolaza, Javier ORCID
dc.date.accessioned2024-04-15T17:31:36Z
dc.date.available2024-04-15T17:31:36Z
dc.date.issued2024-06
dc.identifier.citationInternational Journal of Thermal Sciences 200 : (2024) // Article ID 108935es_ES
dc.identifier.issn1290-0729
dc.identifier.issn1778-4166
dc.identifier.urihttp://hdl.handle.net/10810/66696
dc.description.abstractThe non-destructive detection of defects in materials, such as cracks, delaminations and others, is a critical issue to be addressed in many technological applications like automotive, aeronautical or aerospace industries. In this frame, lock-in infrared thermography is identified as a highly suitable solution offering not only a qualitative detection of the defects but also their quantitative characterization. With the goal of maximizing its capabilities on the crack detection and characterization, in this work, a dimensionless numerical global sensitivity analysis of the lock-in infrared thermography is developed. First, a complete dimensionless reformulation of the thermographic investigation is provided, not only limited to the defect geometrical parameters, but also including the corresponding experimental parameters. As a consequence, the constraints of particular experimental setups or material properties can be removed by means of an appropriate choice of length, time and temperature scales. This leads to a set of dimensionless parameters and equations which preserve the full physical information of the experiment. The resulting model has been numerically solved and successfully validated by using experimental thermographic data over laboratory calibrated cracked material samples. Second, the developed dimensionless numerical model has been used as input for a global sensitivity analysis able to determine the correlations between the proposed dimensionless parameters and their corresponding impact on the thermographic results. Furthermore, the ranges of sensitivity and predominance of each dimensionless parameter are obtained, which provide quantitative parametric selection criteria for a maximized efficiency and accuracy on the thermographic crack detection and characterization.es_ES
dc.description.sponsorshipThis work has been supported by Ministerio de Ciencia e Innovación, Spain (Grant PID2019-104347RB-I00 funded by MCIN/AEI/10.13039/501100011033) and by Departamento de Educación del Gobierno Vasco (IT1430-22). This work was carried out within the framework of the Joint Cross-Border Laboratory (LTC) AENIGME (Aquitaine Euskadi Network In Green Manufacturing and Ecodesign). The authors would like to thank the Basque Government and EUSKAMPUS (LTC Sarea initiative) for their financial support for this LTC and this research work.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2019-104347RB-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectinfrared thermographyes_ES
dc.subjectnon-destructive narrow crack characterizationes_ES
dc.subjectnumerical modelinges_ES
dc.subjectdimensionless analysises_ES
dc.subjectsensitivity analysises_ES
dc.titleDimensionless numerical sensitivity analysis of narrow cracks by means of infrared lock-in thermographyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder/© 2024 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1290072924000577es_ES
dc.identifier.doi10.1016/j.ijthermalsci.2024.108935
dc.departamentoesFísica aplicada Ies_ES
dc.departamentoeuFisika aplikatua Ies_ES


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/© 2024 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/)
Except where otherwise noted, this item's license is described as /© 2024 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)