Review on computational modeling of process–microstructure–property relationships in metal additive manufacturing

T Gatsos, KA Elsayed, Y Zhai, DA Lados - Jom, 2020 - Springer
Metal additive manufacturing (AM) is an emerging technology with great potential for the
fabrication of components with highly complex shapes at low cost. Its broad implementation …

[HTML][HTML] A review of computational approaches to the microstructure-informed mechanical modelling of metals produced by powder bed fusion additive manufacturing

O Zinovieva, V Romanova, E Dymnich, A Zinoviev… - Materials, 2023 - mdpi.com
In the rapidly evolving field of additive manufacturing (AM), the predictability of part
properties is still challenging due to the inherent multiphysics complexity of the technology …

[HTML][HTML] Implementation of nucleation in cellular automaton simulation of microstructural evolution during additive manufacturing of Al alloys

MS Mohebbi, V Ploshikhin - Additive Manufacturing, 2020 - Elsevier
In this work, a new approach is developed to integrate a particle-based (seed crystals)
nucleation mechanism into the Cellular Automata (CA) simulation of powder-bed laser beam …

Elastic properties of additively manufactured steel produced with different scan strategies

O Zinovieva, V Romanova, A Zinoviev… - International Journal of …, 2023 - Elsevier
The current study reports the application of a novel integrated process-structure-property
approach in laser powder bed fusion (LPBF) additive manufacturing of stainless steel …

Three-dimensional analysis of grain structure and texture of additively manufactured 316L austenitic stainless steel

O Zinovieva, A Zinoviev, V Romanova… - Additive Manufacturing, 2020 - Elsevier
This paper aims at an in-depth analysis of grain structure and texture of 316 L austenitic
stainless steel produced by the powder bed based additive manufacturing in three …

A physics-informed convolutional neural network with custom loss functions for porosity prediction in laser metal deposition

E McGowan, V Gawade, WG Guo - Sensors, 2022 - mdpi.com
Physics-informed machine learning is emerging through vast methodologies and in various
applications. This paper discovers physics-based custom loss functions as an …

Micromechanical simulations of additively manufactured aluminum alloys

V Romanova, R Balokhonov, O Zinovieva… - Computers & …, 2021 - Elsevier
A computational approach to simulating the deformation response of additively
manufactured aluminum alloys is presented. A three-dimensional microstructure with the …

A physically-based computational approach for processing-microstructure-property linkage of materials additively manufactured by laser powder bed fusion

V Romanova, MS Mohebbi, E Dymnich… - International Journal of …, 2022 - Elsevier
A physically-based approach is proposed for evaluating the microstructure-to-property
linkage of AlSi10Mg produced by Laser Powder Bed Fusion (L-PBF). The approach includes …

Thermal analysis and phase transformation behaviour during additive manufacturing of Ti–6Al–4V alloy

L Novotný, M Béreš, HFG de Abreu… - Materials Science …, 2019 - journals.sagepub.com
Despite the fact that the additive manufacturing (AM) technique has been established for
almost two decades, its optimisation is still performed by trial and error experimentation. In …

[HTML][HTML] Simulation of primary particle development and their impact on microstructural evolution of sc-modified aluminum alloys during additive manufacturing

MS Mohebbi, V Ploshikhin - Metals, 2021 - mdpi.com
The microstructures of additively manufactured Sc-and Zr-modified aluminum alloys are
significantly influenced by the nucleation role of solid intermetallic particles in undercooled …