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-...

Full description

Saved in:
Bibliographic Details
Main Author: Parag M Ahmedabadi
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Materials Research Express
Subjects:
Online Access:https://doi.org/10.1088/2053-1591/adac31
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832583374704738304
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