Crystallographic-based dislocation model capturing simultaneous variation of yield surface evolution with small and large strain
Date8th Apr 2022
Time11:00 AM
Venue Google Meet
PAST EVENT
Details
A good estimation of yield surface evolution is essential to understand the physics
involved in plastic deformation. The stress-strain curve’s smooth nature for ductile
materials makes it hard to pinpoint the yield point exactly. This leads to the birth
of different yield definitions. And hence different definitions result in different yield
surfaces. Plotting of yield surfaces after different pre-strain generates subsequent yield
surfaces. Subsequent yield surface helps in understanding the hardening behaviour of
the material. Fulsome experimental observations made susseptible to different yield
definitions and some time due to different pre-straining. This experimental observations
motivated the researchers to develop computational models to understand the reasons.
Among the other developed models, most of them are phenomenological. Also, these
phenomenological models discussed in the literature are based on the evolution of
some anisotropic tensors; a few only come from the modelling at the grain level. In
the present work, the idea is to develop a physical model capturing subsequent yield
surface evolution. Using the polycrystal plasticity approach, a face-centered cubic
(FCC) material is utilized to study subsequent yield surface evolution. Dislocations
present in the grains of a polycrystal evolve with the macroscopic imposed deformation.
Classical hardening law is modified to evolve with the dislocation density. The principal
objective is to study the yield surface evolution with the developed model for large and
small strain unloads. And the associated purpose is to check the texture evolutions of the subjected deformation.
Speakers
Mr. Praveen Kumar
Department of Aerospace Engineering