Predicting impact outcomes and maximum spreading of drop impact on heated nanostructures using machine learning

L Au-Yeung, PA Tsai - Langmuir, 2023 - ACS Publications
Accurate prediction of droplet behavior upon impact on a heated nanostructured surface is
vital for various industrial applications. In this study, we leverage multiple data-driven …

[HTML][HTML] The effects of secondary cavitation position on the velocity of a laser-induced microjet extracted using explainable artificial intelligence

D Igarashi, J Yee, Y Yokoyama, H Kusuno… - Physics of …, 2024 - pubs.aip.org
The control of the velocity of a high-speed laser-induced microjet is crucial in applications
such as needle-free injection. Previous studies have indicated that the jet velocity is heavily …

A comparison of models for predicting the maximum spreading factor in droplet impingement

W Yu, B Li, S Lin, W Wang, S Chen, D Cao, J Zhao - Physics of Fluids, 2024 - pubs.aip.org
The maximum spreading factor during droplet impact on a dry surface is a pivotal parameter
of a range of applications, including inkjet printing, anti-icing, and micro-droplet …

Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence

J Yee, D Igarashi, A Yamanaka, Y Tagawa - arXiv preprint arXiv …, 2023 - arxiv.org
This study reveals a possible correlation between splashing morphology and the normalized
impact force exerted by an impacting drop on a solid surface. This finding is obtained from a …

Predicting Energy Budgets in Droplet Dynamics: A Recurrent Neural Network Approach

DA de Aguiar, HL França, CM Oishi - arXiv preprint arXiv:2403.16144, 2024 - arxiv.org
Neural networks in fluid mechanics offer an efficient approach for exploring complex flows,
including multiphase and free surface flows. The recurrent neural network, particularly the …

The effects of cavitation position on the velocity of a laser-induced microjet extracted using explainable artificial intelligence

D Igarashi, J Yee, Y Yokoyama, H Kusuno… - arXiv preprint arXiv …, 2023 - arxiv.org
The control of the velocity of a high-speed laser-induced microjet is crucial in applications
such as needle-free injection. Previous studies have indicated that the jet velocity is heavily …

Surface tension of binary and ternary mixtures mapping with ASP and UNIFAC models based on machine learning

J Deng, Y Zhang, G Jia - Physics of Fluids, 2023 - pubs.aip.org
Modeling predictions of surface tension for binary and ternary liquid mixtures is difficult. In
this work, we propose a machine learning model to accurately predict the surface tension of …

Morphological evolution of splashing drop revealed by interpretation of explainable artificial intelligence

J Yee, S Kumagai, D Igarashi, A Yamanaka, Y Tagawa - Flow, 2024 - cambridge.org
This study reveals the morphological evolution of a splashing drop by a newly proposed
feature extraction method, and a subsequent interpretation of the classification of splashing …

Predição do balanço de energia na dinâmica de gotículas: uma abordagem com redes neurais recorrentes

DA Aguiar - 2024 - repositorio.unesp.br
Este estudo explora a aplicação de modelos Long Short-Term Memory (LSTM) para prever
o balanço de energia (energias cinética, de superfície e de dissipação viscosa) no contexto …

“力” を既知とする新しい流体科学(< 特集> 複雑な流れ現象-機械工学の視点から-)

田川義之 - 日本機械学会誌, 2023 - jstage.jst.go.jp
はじめに新しい流体科学: 主役は流速? 力? 流体力学分野において, 運動方程式を解くとは一般的
に 「流速」 について解くことを意味する. 筆者はこれまで流速計測を重視し, 混相流に関する実験的 …