Convolutional neural networks (CNNs) find vast applications in the field of image
processing. This study utilises the CNNs in conjunction with the crystal plasticity finite …

Abstract Machine learning (ML) methods are commonly used for pattern recognition in
almost any field one could imagine. ML techniques can also offer a substantial improvement …

Abstract Machine learning techniques are widely used to understand and predict data trends
and therefore can provide a huge computational advantage over conventional numerical …

A new crystal plasticity model based on the deformation mechanism for ultrafine-grained/
nanocrystalline face-centered cubic (FCC) metals was developed. The deformation …

In the present study, damage initiation and growth in a polycrystalline aggregate are
investigated. In this regard, an anisotropic continuum damage mechanics coupled with rate …

This work presents an experimental and numerical investigation of annealed aluminum alloy
AA6061 subjected to proportional and non-proportional loading paths at various finite levels …

An artificially aged AA6061 alloy was investigated at multiple heat treatment conditions with
monotonic tensile and cyclic shear testing to characterize the effect of precipitation on the …

The heterogeneous deformation of polycrystalline metals inherently originates from the
intergranular deformation incompatibility. This paper proposes physical parameters related …

Age hardened aluminum alloys have superior strengths compared to non-age hardenable
alloys due to the growth of a secondary phase of precipitates. This work presents a new …

In general, the shear localization process involves initiation and growth. Initiation is
expected to be a stochastic process in material space where anisotropy in the elastic–plastic …