Mathematical modelling of sensitization and desensitization in austenitic alloys using Gaussian-based peak models
This study presents four Gaussian-based mathematical models for accurately simulating the sensitization and desensitization processes in austenitic alloys. By incorporating temperature and time as variables, these models aim to predict the Degree of Sensitization (DOS) and generate Time-Temperature-...
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Language: | English |
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IOP Publishing
2025-01-01
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Series: | Materials Research Express |
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Online Access: | https://doi.org/10.1088/2053-1591/adac31 |
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author | Parag M Ahmedabadi |
author_facet | Parag M Ahmedabadi |
author_sort | Parag M Ahmedabadi |
collection | DOAJ |
description | This study presents four Gaussian-based mathematical models for accurately simulating the sensitization and desensitization processes in austenitic alloys. By incorporating temperature and time as variables, these models aim to predict the Degree of Sensitization (DOS) and generate Time-Temperature-Sensitization (TTS) diagrams. Validation using experimental datasets shows that the models perform well across various datasets, minimizing over-fitting when peak sensitization data is adequately provided. The models also introduce a statistical index to assess accuracy, combining fitting parameters systematically. This work offers a comprehensive tool for investigating localized corrosion phenomena and supports the development of strategies to control chromium depletion during heat treatments, relevant for stainless steel and nickel-based alloys. |
format | Article |
id | doaj-art-c014412c47a34e4198766ff645b206c1 |
institution | Kabale University |
issn | 2053-1591 |
language | English |
publishDate | 2025-01-01 |
publisher | IOP Publishing |
record_format | Article |
series | Materials Research Express |
spelling | doaj-art-c014412c47a34e4198766ff645b206c12025-01-28T16:00:21ZengIOP PublishingMaterials Research Express2053-15912025-01-0112101651510.1088/2053-1591/adac31Mathematical modelling of sensitization and desensitization in austenitic alloys using Gaussian-based peak modelsParag M Ahmedabadi0https://orcid.org/0000-0001-7397-7179Materials Processing & Corrosion Engineering Division , Bhabha Atomic Research Centre, Trombay, Mumbai 400 085, IndiaThis study presents four Gaussian-based mathematical models for accurately simulating the sensitization and desensitization processes in austenitic alloys. By incorporating temperature and time as variables, these models aim to predict the Degree of Sensitization (DOS) and generate Time-Temperature-Sensitization (TTS) diagrams. Validation using experimental datasets shows that the models perform well across various datasets, minimizing over-fitting when peak sensitization data is adequately provided. The models also introduce a statistical index to assess accuracy, combining fitting parameters systematically. This work offers a comprehensive tool for investigating localized corrosion phenomena and supports the development of strategies to control chromium depletion during heat treatments, relevant for stainless steel and nickel-based alloys.https://doi.org/10.1088/2053-1591/adac31sensitizationEPRmathematical modelsdesensitizationstatistical indexASTM A practice C |
spellingShingle | Parag M Ahmedabadi Mathematical modelling of sensitization and desensitization in austenitic alloys using Gaussian-based peak models Materials Research Express sensitization EPR mathematical models desensitization statistical index ASTM A practice C |
title | Mathematical modelling of sensitization and desensitization in austenitic alloys using Gaussian-based peak models |
title_full | Mathematical modelling of sensitization and desensitization in austenitic alloys using Gaussian-based peak models |
title_fullStr | Mathematical modelling of sensitization and desensitization in austenitic alloys using Gaussian-based peak models |
title_full_unstemmed | Mathematical modelling of sensitization and desensitization in austenitic alloys using Gaussian-based peak models |
title_short | Mathematical modelling of sensitization and desensitization in austenitic alloys using Gaussian-based peak models |
title_sort | mathematical modelling of sensitization and desensitization in austenitic alloys using gaussian based peak models |
topic | sensitization EPR mathematical models desensitization statistical index ASTM A practice C |
url | https://doi.org/10.1088/2053-1591/adac31 |
work_keys_str_mv | AT paragmahmedabadi mathematicalmodellingofsensitizationanddesensitizationinausteniticalloysusinggaussianbasedpeakmodels |