Modeling of hierarchical solidification microstructures in metal additive manufacturing: Challenges and opportunities
Metal-based additive manufacturing (AM) processes often produce parts with improved
properties compared to conventional manufacturing and metal working routes. However …
properties compared to conventional manufacturing and metal working routes. However …
Digital twins for rapid in-situ qualification of part quality in laser powder bed fusion additive manufacturing
BD Bevans, A Carrington, A Riensche, A Tenequer… - Additive …, 2024 - Elsevier
This work concerns the laser powder bed fusion (LPBF) additive manufacturing process.
Currently, LPBF parts are inspected post-process using such techniques as X-ray computed …
Currently, LPBF parts are inspected post-process using such techniques as X-ray computed …
ExaCA: A performance portable exascale cellular automata application for alloy solidification modeling
Modeling the as-solidified grain structures that form during alloy processing is a critical
component in understanding process-property relationships, particularly for additive …
component in understanding process-property relationships, particularly for additive …
A Comprehensive Review and Future Perspectives of Simulation Approaches in Wire Arc Additive Manufacturing (WAAM)
Z CHEN, L Yuan, zengxi pan, H Zhu… - … Journal of Extreme …, 2024 - iopscience.iop.org
Wire arc additive manufacturing (WAAM) has emerged as a promising technique for
producing large-scale metal components, favoured by high deposition rates, flexibility and …
producing large-scale metal components, favoured by high deposition rates, flexibility and …
Calibrating uncertain parameters in melt pool simulations of additive manufacturing
Melt pool scale numerical modeling of additive manufacturing (AM) processes can provide
predictive capabilities and theoretical insight into the process-property-structure …
predictive capabilities and theoretical insight into the process-property-structure …
GrainNN: A neighbor-aware long short-term memory network for predicting microstructure evolution during polycrystalline grain formation
High fidelity simulations of grain formation in alloys are an indispensable tool for process-to-
mechanical-properties characterization. Such simulations, however, can be computationally …
mechanical-properties characterization. Such simulations, however, can be computationally …
Using post-processing heat treatments to elucidate precipitate strengthening of additively manufactured superalloy 718
S Taller, T Austin - Additive Manufacturing, 2022 - Elsevier
The poor machinability and extensive work hardening of Ni-based superalloys makes
additive manufacturing an attractive option for producing geometrically complex components …
additive manufacturing an attractive option for producing geometrically complex components …
Metal AM process-structure-property relational linkages using Gaussian process surrogates
In metal additive manufacturing (AM), with sufficient understanding of process-structure–
property (PSP) relational linkages, the control of build parameters can produce parts with …
property (PSP) relational linkages, the control of build parameters can produce parts with …
Physics guided heat source for quantitative prediction of IN718 laser additive manufacturing processes
Challenge 3 of the 2022 NIST additive manufacturing benchmark (AM Bench) experiments
asked modelers to submit predictions for solid cooling rate, liquid cooling rate, time above …
asked modelers to submit predictions for solid cooling rate, liquid cooling rate, time above …
An extended version of cellular automata model for powder bed fusion to unravel the dependence of microstructure on printing areas for Inconel 625
For the traditional cellular automata (CA) model applied for powder bed fusion additive
manufacturing (AM), nucleation is assumed to be independent of thermal gradients, and …
manufacturing (AM), nucleation is assumed to be independent of thermal gradients, and …