000117174 001__ 117174
000117174 005__ 20240319080959.0
000117174 0247_ $$2doi$$a10.3390/s22062336
000117174 0248_ $$2sideral$$a128628
000117174 037__ $$aART-2022-128628
000117174 041__ $$aeng
000117174 100__ $$aMendioroz, A.
000117174 245__ $$aVertical Cracks Excited in Lock-in Vibrothermography Experiments: Identification of Open and Inhomogeneous Heat Fluxes
000117174 260__ $$c2022
000117174 5060_ $$aAccess copy available to the general public$$fUnrestricted
000117174 5203_ $$aLock-in vibrothermography has proven to be very useful to characterizing kissing cracks producing ideal, homogeneous, and compact heat sources. Here, we approach real situations by addressing the characterization of non-compact (strip-shaped) heat sources produced by open cracks and inhomogeneous fluxes. We propose combining lock-in vibrothermography data at several modulation frequencies in order to gather penetration and precision data. The approach consists in inverting surface temperature amplitude and phase data by means of a least-squares minimization algorithm without previous knowledge of the geometry of the heat source, only assuming knowledge of the vertical plane where it is confined. We propose a methodology to solve this illposed inverse problem by including in the objective function penalty terms based on the expected properties of the solution. These terms are described in a comprehensive and intuitive manner. Inversions of synthetic data show that the geometry of non-compact heat sources is identified correctly and that the contours are rounded due to the penalization. Inhomogeneous smoothly varying fluxes are also qualitatively retrieved, but steep variations of the flux are hard to recover. These findings are confirmed by inversions of experimental data taken on calibrated samples. The proposed methodology is capable of identifying heat sources generated in lock-in vibrothermography experiments. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
000117174 536__ $$9info:eu-repo/grantAgreement/ES/MICINN-AEI-FEDER/PID2019-104347RB-I00
000117174 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000117174 590__ $$a3.9$$b2022
000117174 592__ $$a0.764$$b2022
000117174 591__ $$aCHEMISTRY, ANALYTICAL$$b26 / 86 = 0.302$$c2022$$dQ2$$eT1
000117174 593__ $$aInstrumentation$$c2022$$dQ1
000117174 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b19 / 63 = 0.302$$c2022$$dQ2$$eT1
000117174 593__ $$aAnalytical Chemistry$$c2022$$dQ1
000117174 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b100 / 274 = 0.365$$c2022$$dQ2$$eT2
000117174 593__ $$aMedicine (miscellaneous)$$c2022$$dQ2
000117174 593__ $$aInformation Systems$$c2022$$dQ2
000117174 593__ $$aBiochemistry$$c2022$$dQ2
000117174 593__ $$aAtomic and Molecular Physics, and Optics$$c2022$$dQ2
000117174 593__ $$aElectrical and Electronic Engineering$$c2022$$dQ2
000117174 594__ $$a6.8$$b2022
000117174 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000117174 700__ $$aCastelo, A.
000117174 700__ $$0(orcid)0000-0003-2183-2159$$aCelorrio de Pablo, R.$$uUniversidad de Zaragoza
000117174 700__ $$aSalazar, A.
000117174 7102_ $$12005$$2595$$aUniversidad de Zaragoza$$bDpto. Matemática Aplicada$$cÁrea Matemática Aplicada
000117174 773__ $$g22, 6 (2022), 2336 [20 pp]$$pSensors$$tSensors$$x1424-8220
000117174 8564_ $$s5017159$$uhttps://zaguan.unizar.es/record/117174/files/texto_completo.pdf$$yVersión publicada
000117174 8564_ $$s2737244$$uhttps://zaguan.unizar.es/record/117174/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000117174 909CO $$ooai:zaguan.unizar.es:117174$$particulos$$pdriver
000117174 951__ $$a2024-03-18-13:57:00
000117174 980__ $$aARTICLE