Creep parameters determination by omega model to norton bailey law by regression analysis for austenitic steel ss-304

Mohsin Sattar, A. R. Othman, Shahrul Kamaruddin, M. Azad Alam, M. Azeem

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In the material’s creep failure analysis, the difficulty of assessing the applied thermo-mechanical boundary conditions make it critically important. Numerous creep laws have been established over the years to predict the creep deformation, damage evolution and rupture of the materials subjected to creep phenomena. The omega model developed by the American Petroleum Institute and Material Properties Council, is one of the most commonly used creep material models for numerical analysis over the years. It is good in defining the fitness of mechanical equipment for service engineering evaluation to ensure reliable service life of the equipment. The Omega model, however is not readily accessible and specifically incorporated for creep evaluation in FEA software codes and creep data is always scarce for the complete analysis. Therefore, extrapolation of creep behavior was performed by fitting various types of creep models with a limited amount of creep data and then simulating them, beyond the available data points. In conjunction with the Norton Bailey model, based on API-579/ASME FFS-1 standards, curve fitting technique was employed called regression analysis. From the MPC project omega model, different creep strain rates were obtained based on material, stress and temperature dependent data. In addition, as the strain rates increased exponentially with the increase in stresses, regression analysis was used for predicting creep parameters, that can curve fit the data into the embedded Norton Bailey model. The uncertainties in extrapolations and material constants has highlighted to necessitate conservative safety factors for design requirement. In this case study, FEA creep assessment was performed on the material SS-304 dog bone specimen, considered as material coupon to predict time dependent plastic deformation along with creep behavior at elevated temperatures and under constant stresses. The results indicated that the specimen underwent secondary creep deformation for most of the period.

Original languageEnglish
Title of host publicationMaterial Engineering and Manufacturing IV
EditorsAkira Toriumi, Takashige Omatsu
PublisherTrans Tech Publications Ltd
Pages188-197
Number of pages10
ISBN (Print)9783035718591
DOIs
StatePublished - 2021
Externally publishedYes
Event5th International Conference on Material Engineering and Manufacturing, ICMEM 2021, the 4th International Conference on Materials Design and Applications, ICMDA 2021, and the 5th International Conference on Materials Engineering and Nano Sciences, ICMENS 2021 - Chiba, Japan
Duration: 16 Apr 202119 Apr 2021

Publication series

NameSolid State Phenomena
Volume324 SSP
ISSN (Print)1012-0394
ISSN (Electronic)1662-9779

Conference

Conference5th International Conference on Material Engineering and Manufacturing, ICMEM 2021, the 4th International Conference on Materials Design and Applications, ICMDA 2021, and the 5th International Conference on Materials Engineering and Nano Sciences, ICMENS 2021
Country/TerritoryJapan
CityChiba
Period16/04/2119/04/21

Bibliographical note

Publisher Copyright:
© 2021 Trans Tech Publications Ltd, Switzerland.

Keywords

  • Creep parameters
  • Creep rupture
  • Curve fitting
  • Norton Bailey law
  • Omega model

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • General Materials Science
  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Creep parameters determination by omega model to norton bailey law by regression analysis for austenitic steel ss-304'. Together they form a unique fingerprint.

Cite this