Applications of Crystal Plasticity in Forming Technologies

• Other Authors: Prahl, Ulrich (Editor), Guk, Sergey (Editor), Qayyum, Faisal (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Technology: general issues; Chemical engineering; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.

Physical Description

1 electronic resource (242 p.)

ISBN

books978-3-0365-5734-2
9783036557335
9783036557342

Access

Open Access