Publication:
High Temperature Deformation Behavior and Constitutive Modeling for Flow Behavior of Alloy 718

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cris.virtual.author-orcid0000-0003-1934-7824
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentIndian Institute of Technology, Madras
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcidcd76a068-7daa-4eb8-87d8-42b24dccc9af
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cris.virtualsource.departmentcd76a068-7daa-4eb8-87d8-42b24dccc9af
dc.contributor.authorJarugula, Rajesh
dc.contributor.authorAravind, U.
dc.contributor.authorMeena, Bhagwan Singh
dc.contributor.authorGanesh Sundara Raman, Subramanian
dc.date.accessioned2023-09-19T14:01:00Z
dc.date.available2023-09-19T14:01:00Z
dc.date.issued01-07-2020
dc.description.abstractIn the present work, hot deformation behavior of Alloy 718 was investigated over a temperature range of 1223–1373 K and strain rate range of 10−2–10 s−1. The flow curves were corrected for adiabatic temperature rise, particularly at high strain rates. Arrhenius type constitutive equations were derived for Alloy 718 to model the peak flow stress from apparent and physically based approaches. A stress exponent of 5 was obtained from the power-law equation, indicating that the deformation is governed by the dislocation climb mechanism within the aforementioned processing domain. Further, to model the flow behavior, a generalized constitutive equation was derived in which the effect of strain on the flow stress was incorporated. In addition, artificial neural networks (ANN) method was also employed to model the flow behavior. Statistical parameters such as regression coefficient (R) and average absolute relative error (AARE) indicated that the ANN method was more accurate in predicting the flow behavior with R = 0.99 and AARE = 0.79% compared to the apparent-based constitutive equation with R = 0.99 and AARE = 4.5%. Accuracy of the derived constitutive equation as a material model in finite element (FE) simulation studies was also evaluated. Flow curve predictions obtained from the FE simulation were comparable to the experimental results. The microstructure and hardness at different locations in the deformed samples were consistent with the strain distribution map generated by the FE simulation.
dc.identifier.doi10.1007/s11665-020-04989-2
dc.identifier.issn10599495
dc.identifier.scopus2-s2.0-85088628455
dc.identifier.urihttps://apicris.irins.org/handle/IITM2023/25758
dc.relation.ispartofseriesJournal of Materials Engineering and Performance
dc.sourceJournal of Materials Engineering and Performance
dc.subjectAlloy 718
dc.subjectartificial neural networks
dc.subjectconstitutive modeling
dc.subjectfinite element method
dc.subjecthigh temperature deformation
dc.titleHigh Temperature Deformation Behavior and Constitutive Modeling for Flow Behavior of Alloy 718
dc.typeJournal
dspace.entity.typePublication
oaire.citation.endPage4707
oaire.citation.issue7
oaire.citation.startPage4692
oaire.citation.volume29
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationIndian Institute of Technology, Madras
person.affiliation.cityHyderabad
person.affiliation.cityChennai
person.affiliation.id60078726
person.affiliation.id60025757
person.affiliation.nameMishra Dhatu Nigam Limited
person.affiliation.nameIndian Institute of Technology Madras
person.identifier.scopus-author-id57207472643
person.identifier.scopus-author-id57202405405
person.identifier.scopus-author-id57218289857
person.identifier.scopus-author-id6603657010
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