Szczegóły publikacji
Opis bibliograficzny
Statistical analysis and correlation of Small Punch Test / Maciej KALICIAK, Tadeusz UHL, Marek Nowak // W: Health Monitoring of Structural and Biological Systems XVII : 13–16 March 2023, Long Beach, California, United States / eds. Paul Fromme, Zhongqing Su. — Bellingham : Society of Photo-Optical Instrumentation Engineers, cop. 2023. — (Proceedings of SPIE / The International Society for Optical Engineering ; ISSN 0277-786X ; vol. 12488). — ISBN: 9781510660830; e-ISBN: 9781510660847. — S. 124881O-1–124881O-7. — Bibliogr. s. 124881O-6–124881O-7, Abstr. — Publikacja dostępna online od: 2023-04-23
Autorzy (3)
- AGHKaliciak Maciej
- AGHUhl Tadeusz
- Nowak Marek
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 150356 |
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Data dodania do BaDAP | 2023-12-16 |
Tekst źródłowy | URL |
DOI | 10.1117/12.2657727 |
Rok publikacji | 2023 |
Typ publikacji | materiały konferencyjne (aut.) |
Otwarty dostęp | |
Wydawca | SPIE - The International Society for Optics and Photonics |
Czasopismo/seria | Proceedings of SPIE / The International Society for Optical Engineering |
Abstract
Structural Health Monitoring methods are in general based on material testing during operation of structures under monitoring. Small Punch Test method is a new approach that allows for material sampling on metal structures without the need to repair the damage due to the size and shape of material volume taken from the structure. The way of material sampling for SPT makes it a non-destructive testing method thus allowing material condition assessment at any stage of machine life without the need to exclude it from usage and cause production downtime. Small Punch Test results provide Yield Stress and Ultimate Strength. In this work we investigate the accuracy of the SPT method in comparison with standard, widely used in industry Uniaxial Tensile Test that is destructive but regarded as a default source of precise mechanical properties data. Materials used for this research are boiler steels in various conditions starting at unused materials and ending on heavily fatigued samples from retired pressure tanks. The goal of this study is to establish a direct correlation between SPT and UTT for investigated materials by the means of statistical analysis of the results. Cluster analysis has been used to investigate the influence of small thickness differences between samples on final results in comparison to the data obtained from standard material testing methods by mixing the data together.