Constitutive modeling of multiaxial deformation and induced anisotropy in superplastic materials

Marwan K. Khraisheh*

*Corresponding author for this work

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

Abstract

The multiaxial deformation of supeiplastic materials is modeled within a continuum theory of viscoplasticity using a generalized anisotropic dynamic yield function. The anisotropic dynamic yield function is capable of describing the evolution of the initial anisotropic state of the yield potential through the evolution of unit vectors defining the direction of anisotropy. The evolution of the direction of anisotropy is represented by a constitutive spin such that initially it is identical to the Eulerian spin and as deformation continues, it tends towards an orthotropic spin. Experiments on the model Pb-Sn alloy were conducted and used to calibrate and verify the constructed model. It is shown that the model in conjunction with the anisotropic dynamic yield function is capable of predicting the actual trend of the induced axial stresses recorded in fixed-end torsion experiments.

Original languageEnglish
Title of host publicationRecent Trends in Constitutive Modeling of Advanced Materials
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages79-94
Number of pages16
ISBN (Electronic)9780791819029
DOIs
Publication statusPublished - 2000
Externally publishedYes
EventASME 2000 International Mechanical Engineering Congress and Exposition, IMECE 2000 - Orlando, United States
Duration: 5 Nov 200010 Nov 2000

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume2000-AN

Conference

ConferenceASME 2000 International Mechanical Engineering Congress and Exposition, IMECE 2000
Country/TerritoryUnited States
CityOrlando
Period5/11/0010/11/00

Fingerprint

Dive into the research topics of 'Constitutive modeling of multiaxial deformation and induced anisotropy in superplastic materials'. Together they form a unique fingerprint.

Cite this