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Applications of Crystal Plasticity in Forming Technologies

In this Special Issue, we have gathered work on simulations of polycrystalline metals and alloys at various length scales to model multiscale localization phenomena such as slip bands, cracks, and twins. The series highlights innovative techniques that combine simulation and experiments to capture m...

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Format: Online
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2022
Fag:
crystal plasticity
twinning
detwinning
dislocation
X-ray diffraction
SEM-DIC
Magnesium
plastic crystals
Raman spectroscopy
low temperature
high-pressure
L-Leucinium hydrogen maleate
plasticity
bending crystal
damage mechanics
numerical simulation
local deformation behavior
in situ tensile test
VEDDAC
DAMASK
digital image correlation
non-metallic inclusions
discrete dislocation dynamics
finite element method
multiscale model
size effects
magnesium alloy
slip transfer
crystallographic misorientation
ductility
multilevel models
dynamic recrystallization
grain shape and grain size
defect and grain structure evolution
representative volume element
least square method
alternative error method
dual-phase steel
grain boundary
characteristics
electron microscopy
cubic quasicrystal piezoelectric materials
crack
screw dislocation
complex variable function method
aluminum wires
overhead power transmission lines
XRD
EBSD
densitometry
elastoplastic properties
density
near-surface layer
solder joints
lead-free
reliability
creep
fatigue
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering
Online adgang:ONIX_20221206_9783036557335_61
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Summary:In this Special Issue, we have gathered work on simulations of polycrystalline metals and alloys at various length scales to model multiscale localization phenomena such as slip bands, cracks, and twins. The series highlights innovative techniques that combine simulation and experiments to capture material production and guide the development of forming theories. The published work helps to understand the effect of microstructure characteristics on deformation and damage behavior under multiaxial load conditions. Furthermore, these models and the studies can be used with machine learning technologies to optimize microstructure functions for materials application and process paths.

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