Surface damage assessment by analysis of electrical resistance changes in graphite-based sensing skin

• Autorzy: Stepnowski Marek , Janczak Daniel , Jakubowska Małgorzata , Pyrzanowski Paweł

Identyfikatory

DOI

10.24425/mms.2022.140037

• Języki publikacji: EN

Abstrakty

EN

The article presents the method of identifying surface damage by measuring changes in resistance in graphite-based sensing skin. The research focused on analysis of conductivity anomalies caused by surface damage. Sensitivity maps obtained with Finite Element Method (FEM) in conjunction with the analytical damage model were used to build the coating evaluation algorithm. The experiment confirmed the ability of this method to identify a single elliptical-shape damage. Eight electrodes were enough to locate the damage that covered about 0.1‰ of the examined area. The proposed algorithm can prove useful in simple applications for surface condition monitoring. It can be implemented wherever it is possible to apply a thin layer of conductor to a non-conductive surface.

Słowa kluczowe

EN

sensing skin; damage; detection; algorithm; ERT

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2022
• Tom: Vol. 29, nr 2
• Strony: 347--360
• Opis fizyczny: Bibliogr. 28 poz., rys., tab., wykr., wzory

Twórcy

autor

Stepnowski Marek

• Warsaw University of Technology, Institute of Aeronautics and Applied Mechanics, Nowowiejska 24, 00-665 Warsaw, Poland

autor

Janczak Daniel

• Warsaw University of Technology, Institute of Metrology and Biomedical Engineering, Sw. Andrzeja Boboli 8, 02-525 Warsaw, Poland

autor

Jakubowska Małgorzata

• Warsaw University of Technology, Institute of Metrology and Biomedical Engineering, Sw. Andrzeja Boboli 8, 02-525 Warsaw, Poland

autor

Pyrzanowski Paweł

• Warsaw University of Technology, Institute of Aeronautics and Applied Mechanics, Nowowiejska 24, 00-665 Warsaw, Poland

• https://orcid.org/0000-0003-1015-7645

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).