Characterizing Depth of Defects with Low Size/Depth Aspect Ratio and Low Thermal Reflection by Using Pulsed IR Thermography
| dc.contributor.author | Moskovchenko, Alexey | |
| dc.contributor.author | Švantner, Michal | |
| dc.contributor.author | Vavilov, Vladimir P. | |
| dc.contributor.author | Chulkov, Arsenii O. | |
| dc.date.accessioned | 2021-10-25T10:00:26Z | |
| dc.date.available | 2021-10-25T10:00:26Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Studie se zabývá kvantitativním stanovením hloubky defektů pomocí flahs pulzní termografie. Nová metoda vyhodnocení navržená v této práci zohledňuje 3D difuzi tepla, konečnou velikost defektů a koeficient tepelné reflexe mezi materiálem a defekty. Metoda je založena na kombinaci známých analytických modelů a procedury nelineárního fittingu (NLF). Algoritmus je ověřen numericky a experimentálně na vzorcích z PLA plastu vyrobených pomocí 3D tisku. Přesnost metody a její efektivcita byla hodnocena porovnáním s referenční metodou založenou rekonstrukci termografického signálu. | cs |
| dc.description.abstract-translated | This study is focused on the quantitative estimation of defect depth by applying pulsed thermal nondestructive testing. The majority of known defect characterization techniques are based on 1D heat conduction solutions, thus being inappropriate for evaluating defects with low aspect ratios. A novel method for estimating defect depth is proposed by taking into account the phenomenon of 3D heat diffusion, finite lateral size of defects and the thermal reflection coefficient at the boundary between a host material and defects. The method is based on the combination of a known analytical model and a non-linear fitting (NLF) procedure. The algorithm was verified both numerically and experimentally on 3D-printed polylactic acid plastic samples. The accuracy of depth prediction using the proposed method was compared with the reference characterization technique based on thermographic signal reconstruction to demonstrate the efficiency of the proposed NLF method | en |
| dc.format | 20 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | MOSKOVCHENKO, A. ŠVANTNER, M. VAVILOV, VP. CHULKOV, AO. Characterizing Depth of Defects with Low Size/Depth Aspect Ratio and Low Thermal Reflection by Using Pulsed IR Thermography. Materials, 2021, roč. 14, č. 8, s. nestránkováno. ISSN: 1996-1944 | cs |
| dc.identifier.document-number | 644543600001 | |
| dc.identifier.doi | 10.3390/ma14081886 | |
| dc.identifier.issn | 1996-1944 | |
| dc.identifier.obd | 43933519 | |
| dc.identifier.uri | 2-s2.0-85104481816 | |
| dc.identifier.uri | http://hdl.handle.net/11025/45536 | |
| dc.language.iso | en | en |
| dc.project.ID | EF18_069/0010018/LabIR-PAV / Předaplikační výzkum infračervených technologií | cs |
| dc.publisher | MDPI | en |
| dc.relation.ispartofseries | Materials | en |
| dc.rights | © Creative Commons Attribution 4.0 International | en |
| dc.rights.access | openAccess | en |
| dc.subject | pulzní termografie | cs |
| dc.subject | koeficient tepelné reflexe | cs |
| dc.subject | poměr stran defektu | cs |
| dc.subject | tepelné NDT | cs |
| dc.subject | charakteristika defektu | cs |
| dc.subject | nelineární fitting | cs |
| dc.subject | rekonstrukce termografického signálu | cs |
| dc.subject.translated | pulse thermography | en |
| dc.subject.translated | defect aspect ratio | en |
| dc.subject.translated | thermal reflection coefficient | en |
| dc.subject.translated | thermal NDT | en |
| dc.subject.translated | defect characterization | en |
| dc.subject.translated | non-linear fitting | en |
| dc.subject.translated | thermographic signal reconstruction | en |
| dc.title | Characterizing Depth of Defects with Low Size/Depth Aspect Ratio and Low Thermal Reflection by Using Pulsed IR Thermography | en |
| dc.title.alternative | Stanovení hloubky defektu s nízkým poměrem hodnot velikost/hloubka a nízkou tepelnou odrazivostí pomocí flash pulzní IR termografie | cs |
| dc.type | článek | cs |
| dc.type | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |