Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges
In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …
strengthen the understanding of the complex process dynamics underlying metal additive …
Nickel-based superalloy single crystals fabricated via electron beam melting
Additive manufacturing technologies have emerged as potentially disruptive processes
whose possible impacts range across supply chain logistics, prototy**, and novel …
whose possible impacts range across supply chain logistics, prototy**, and novel …
Feature engineering of material structure for AI-based materials knowledge systems
SR Kalidindi - Journal of Applied Physics, 2020 - pubs.aip.org
This tutorial introduces systematically the foundational concepts undergirding the recently
formulated AI (artificial intelligence)-based materials knowledge system (AI-MKS) …
formulated AI (artificial intelligence)-based materials knowledge system (AI-MKS) …
Application of Gaussian process regression models for capturing the evolution of microstructure statistics in aging of nickel-based superalloys
Nickel-based superalloys, used extensively in advanced gas turbine engines, exhibit
complex microstructures that evolve during exposure to high temperatures (ie, aging …
complex microstructures that evolve during exposure to high temperatures (ie, aging …
Influence of geometry on columnar to equiaxed transition during electron beam powder bed fusion of IN718
Correlation between spot-melt scan parameters (linear spot-density aka areal energy
density), build geometry, and solidification microstructure evolution (columnar vs equiaxed) …
density), build geometry, and solidification microstructure evolution (columnar vs equiaxed) …
Gaussian process autoregression models for the evolution of polycrystalline microstructures subjected to arbitrary stretching tensors
S Hashemi, SR Kalidindi - International Journal of Plasticity, 2023 - Elsevier
Crystal plasticity finite element models (CPFEM) have shown tremendous potential for
simulating the microstructure evolution paths in polycrystalline aggregates subjected to …
simulating the microstructure evolution paths in polycrystalline aggregates subjected to …
A machine learning framework for the temporal evolution of microstructure during static recrystallization of polycrystalline materials simulated by cellular automaton
S Hashemi, SR Kalidindi - Computational Materials Science, 2021 - Elsevier
Reduced-order models of process-structure evolution linkages play a central role in the
discovery and development of new/improved materials and their deployment in advanced …
discovery and development of new/improved materials and their deployment in advanced …
Estimation of local strain fields in two-phase elastic composite materials using UNet-based deep learning
The knowledge of the distribution of local micromechanical fields is crucial in the design of
composite materials. Traditionally full-field methods (such as finite element methods) and …
composite materials. Traditionally full-field methods (such as finite element methods) and …
The effects of material anisotropy on secondary processing of additively manufactured CoCrMo
Components produced by near net shape additive manufacturing processes often require
subsequent subtractive finishing operations to satisfy requisite surface finish and geometric …
subsequent subtractive finishing operations to satisfy requisite surface finish and geometric …
Uncertainty quantification and propagation in the microstructure-sensitive prediction of the stress-strain response of woven ceramic matrix composites
Hierarchical multiscale modeling of heterogeneous materials has traditionally relied upon a
deterministic estimation of constitutive properties when making microstructure-sensitive …
deterministic estimation of constitutive properties when making microstructure-sensitive …