Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives

M Mozaffar, S Liao, X **e, S Saha, C Park, J Cao… - Journal of Materials …, 2022‏ - Elsevier
Today's manufacturing processes are pushed to their limits to generate products with ever-
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …

Modeling of hierarchical solidification microstructures in metal additive manufacturing: Challenges and opportunities

S Ghosh, J Zollinger, M Zaloznik, D Banerjee… - Additive …, 2023‏ - Elsevier
Metal-based additive manufacturing (AM) processes often produce parts with improved
properties compared to conventional manufacturing and metal working routes. However …

Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

Q Zhu, Z Liu, J Yan - Computational Mechanics, 2021‏ - Springer
The recent explosion of machine learning (ML) and artificial intelligence (AI) shows great
potential in the breakthrough of metal additive manufacturing (AM) process modeling, which …

Journal submission challenges: mentoring and training students in open journal system scientific paper publication

AI Haanurat, R Darmayanti… - Jurnal Inovasi dan …, 2024‏ - journal.assyfa.com
Converting student theses or final projects into publishable articles poses a significant
challenge. Many students struggle to articulate their ideas in scientific publications due to a …

Laser spot size and scaling laws for laser beam additive manufacturing

JS Weaver, JC Heigel, BM Lane - Journal of Manufacturing Processes, 2022‏ - Elsevier
Laser powder bed fusion (L-PBF) additive manufacturing (AM) requires the careful selection
of laser process parameters for each feedstock material and machine, which is a laborious …

Melt-based additive manufacturing of polyolefins using material extrusion and powder bed fusion

A Das, JS Bryant, CB Williams, MJ Bortner - Polymer Reviews, 2023‏ - Taylor & Francis
Polyolefin-based thermoplastics such as polyethylene and polypropylene constitute a major
fraction of the polymers employed in commodity applications due to their ease of …

Measurements of melt pool geometry and cooling rates of individual laser traces on IN625 bare plates

B Lane, J Heigel, R Ricker, I Zhirnov… - Integrating materials and …, 2020‏ - Springer
The complex physical nature of the laser powder bed fusion (LPBF) process warrants use of
multiphysics computational simulations to predict or design optimal operating parameters or …

ExaCA: A performance portable exascale cellular automata application for alloy solidification modeling

M Rolchigo, ST Reeve, B Stump, GL Knapp… - Computational Materials …, 2022‏ - Elsevier
Modeling the as-solidified grain structures that form during alloy processing is a critical
component in understanding process-property relationships, particularly for additive …

ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure

JA Turner, J Belak, N Barton… - … Journal of High …, 2022‏ - journals.sagepub.com
Additive manufacturing (AM), or 3D printing, of metals is transforming the fabrication of
components, in part by dramatically expanding the design space, allowing optimization of …

Calibrating uncertain parameters in melt pool simulations of additive manufacturing

GL Knapp, J Coleman, M Rolchigo, M Stoyanov… - Computational Materials …, 2023‏ - Elsevier
Melt pool scale numerical modeling of additive manufacturing (AM) processes can provide
predictive capabilities and theoretical insight into the process-property-structure …