A Probabilistic Method for Estimating the Influence of Corrosion on the CuAlNi Shape Memory Alloy in Different Marine Environments
This paper gives an approach to the probabilistic percent corrosion depth estimation model for the CuAlNi Shape Memory Alloy (SMA) in different marine environments. Real testing was performed for validation of the theoretical model, where CuAlNi SMAs were exposed to 6 and 12 months in different seaw...
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MDPI AG
2021-03-01
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| Series: | Crystals |
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| Online Access: | https://www.mdpi.com/2073-4352/11/3/274 |
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| author | Špiro Ivošević Nataša Kovač Gyöngyi Vastag Peter Majerič Rebeka Rudolf |
| author_facet | Špiro Ivošević Nataša Kovač Gyöngyi Vastag Peter Majerič Rebeka Rudolf |
| author_sort | Špiro Ivošević |
| collection | DOAJ |
| description | This paper gives an approach to the probabilistic percent corrosion depth estimation model for the CuAlNi Shape Memory Alloy (SMA) in different marine environments. Real testing was performed for validation of the theoretical model, where CuAlNi SMAs were exposed to 6 and 12 months in different seawater environments. Focus Ion Beam (FIB) analysis was used to measure the real corrosion depth on the surfaces of tested samples. A statistical approach to the investigation of the corrosion rate of CuAlNi SMA is given, where the corrosion rate is observed as a continuous random variable described by a linear corrosion model, with the assumption that corrosion starts immediately upon alloy surfaces being exposed to the influences of the marine environment. The three best-fitted two-parameter distributions for estimating the cumulative density function and the probability density function of the random variable were obtained by applying adequate statistical tests. Furthermore, using EDX analyses, we identified the chemical composition of the corroded materials, and with the help of Principal Component Analyses, we determined which corrosion environment had the most dominant influence on the corrosion process. The research results indicated that the changeable environment in the tides had a more heterogenic chemical content, which accelerated the corrosion rate. |
| first_indexed | 2024-03-10T13:22:28Z |
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| id | doaj.art-9218da726f3e43f0b741de7e6a4bb246 |
| institution | Directory Open Access Journal |
| issn | 2073-4352 |
| language | English |
| last_indexed | 2024-03-10T13:22:28Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Crystals |
| spelling | doaj.art-9218da726f3e43f0b741de7e6a4bb2462023-11-21T09:57:42ZengMDPI AGCrystals2073-43522021-03-0111327410.3390/cryst11030274A Probabilistic Method for Estimating the Influence of Corrosion on the CuAlNi Shape Memory Alloy in Different Marine EnvironmentsŠpiro Ivošević0Nataša Kovač1Gyöngyi Vastag2Peter Majerič3Rebeka Rudolf4Faculty of Maritime Studies Kotor, University of Montenegro, I Bokeljske Brigade 44, 85330 Kotor, MontenegroFaculty of Applied Sciences, University of Donja Gorica, Oktoih 1, Donja Gorica, 81000 Podgorica, MontenegroFaculty of Sciences, University Novi Sad, Trg Dositeja Obradovića 3, 21000 Novi Sad, SerbiaFaculty of Mechanical Engineering, University of Maribor, Smetanova ul.17, 2000 Maribor, SloveniaFaculty of Mechanical Engineering, University of Maribor, Smetanova ul.17, 2000 Maribor, SloveniaThis paper gives an approach to the probabilistic percent corrosion depth estimation model for the CuAlNi Shape Memory Alloy (SMA) in different marine environments. Real testing was performed for validation of the theoretical model, where CuAlNi SMAs were exposed to 6 and 12 months in different seawater environments. Focus Ion Beam (FIB) analysis was used to measure the real corrosion depth on the surfaces of tested samples. A statistical approach to the investigation of the corrosion rate of CuAlNi SMA is given, where the corrosion rate is observed as a continuous random variable described by a linear corrosion model, with the assumption that corrosion starts immediately upon alloy surfaces being exposed to the influences of the marine environment. The three best-fitted two-parameter distributions for estimating the cumulative density function and the probability density function of the random variable were obtained by applying adequate statistical tests. Furthermore, using EDX analyses, we identified the chemical composition of the corroded materials, and with the help of Principal Component Analyses, we determined which corrosion environment had the most dominant influence on the corrosion process. The research results indicated that the changeable environment in the tides had a more heterogenic chemical content, which accelerated the corrosion rate.https://www.mdpi.com/2073-4352/11/3/274CuAlNi Shape Memory Alloycorrosion rateprobabilistic methodFocus Ion Beam analysistwo-parameter distributions |
| spellingShingle | Špiro Ivošević Nataša Kovač Gyöngyi Vastag Peter Majerič Rebeka Rudolf A Probabilistic Method for Estimating the Influence of Corrosion on the CuAlNi Shape Memory Alloy in Different Marine Environments Crystals CuAlNi Shape Memory Alloy corrosion rate probabilistic method Focus Ion Beam analysis two-parameter distributions |
| title | A Probabilistic Method for Estimating the Influence of Corrosion on the CuAlNi Shape Memory Alloy in Different Marine Environments |
| title_full | A Probabilistic Method for Estimating the Influence of Corrosion on the CuAlNi Shape Memory Alloy in Different Marine Environments |
| title_fullStr | A Probabilistic Method for Estimating the Influence of Corrosion on the CuAlNi Shape Memory Alloy in Different Marine Environments |
| title_full_unstemmed | A Probabilistic Method for Estimating the Influence of Corrosion on the CuAlNi Shape Memory Alloy in Different Marine Environments |
| title_short | A Probabilistic Method for Estimating the Influence of Corrosion on the CuAlNi Shape Memory Alloy in Different Marine Environments |
| title_sort | probabilistic method for estimating the influence of corrosion on the cualni shape memory alloy in different marine environments |
| topic | CuAlNi Shape Memory Alloy corrosion rate probabilistic method Focus Ion Beam analysis two-parameter distributions |
| url | https://www.mdpi.com/2073-4352/11/3/274 |
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