Development of an algorithm for reconstruction of droplet history based on deposition pattern using computational fluid dynamics and convolutional neural network

DOI10.1016/j.cma.2020.113442zbMath1506.76010OpenAlexW3089503798MaRDI QIDQ2021070

Amin Zargaran, Uwe Janoske

Publication date: 26 April 2021

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2020.113442

zbMATH Keywords

computational fluid dynamicsthin film depositionconvolutional neural networksfilm-particle interactionliquid thin film

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Thin fluid films (76A20) Basic methods in fluid mechanics (76M99)

Uses Software

• MNIST
• PMTK
• Keras
• ImageNet
• Fashion-MNIST
• AlexNet

Cites Work

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• Multi-dimensional modeling of thin liquid films and spray-wall interactions resulting from impinging sprays
• Enhancing smoothed particle hydrodynamics for shallow water equations on small scales by using the finite particle method
• Inertial effects on thin-film wave structures with imposed surface shear on an inclined plane
• 10.1162/153244303322753715
• On Information and Sufficiency

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