Machine Learning and transcritical sprays: A demonstration study of their potential in ECN Spray-A

P Koukouvinis, C Rodriguez, J Hwang… - … Journal of Engine …, 2022 - journals.sagepub.com
The present work investigates the application of Machine Learning and Artificial Neural
Networks for tackling the complex issue of transcritical sprays, which are relevant to modern …

Effect of solid particles on droplet size applying the time-shift method for spray investigation

S Wachter, T Jakobs, T Kolb - Applied Sciences, 2020 - mdpi.com
This study investigated the influence of solid particles on primary breakup and resulting
droplet size for different process parameters. Two sets of Newtonian fluids (each consisting …

[HTML][HTML] Neural networks for classification and segmentation of thermally-induced droplet breakup in spray-flame synthesis

N Jüngst, V Ersoy, GJ Smallwood, SA Kaiser - Journal of Aerosol Science, 2024 - Elsevier
Spray-flame synthesis (SFS) enables one-step production of functional metal-oxide
nanoparticles from inexpensive precursors such as metal salts. Precursor-laden droplets …

Experimental analysis of u-net and mask r-cnn for segmentation of synthetic liquid spray

RK Pathan, WL Lim, SL Lau, CC Ho… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
In digital image processing, segmentation is a process by which we can partition an image
based on some variables to extract necessary elements. Unlike typical objects, it is …

In-situ characterization of the size distribution of lubricant droplets in rotary compressor

P Wu, J Chen, PE Sojka, Y Li, H Cao - International Journal of Refrigeration, 2023 - Elsevier
Rotary compressors are widely used in split air conditioning units and have a significant
global market share. However, the atomization of lubricant in the rotary compressor during …

Application of computer vision techniques to identify spray primary breakup structures in high-speed flow

RK Pathan, WL Lim, SL Lau, CC Ho… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Accurate analysis of the spray formation process is of utmost importance because it governs
the fuel injector performance in air-breathing engines. Historically, optical diagnostic …

Estimation of vortex-induced vibration based on observed wakes using computational fluid dynamics-trained deep neural network

T Misaka - Journal of Fluids Engineering, 2021 - asmedigitalcollection.asme.org
The vibration of a circular cylinder due to fluid forces is of interest in various engineering
fields. In this study, we investigate an approach to estimate the fluid forces acting on a …

Semantic Liquid Spray Understanding With Computer-Generated Images

WL Lim, MYW Teow, RTK Wong, RK Pathan… - IEEE …, 2024 - ieeexplore.ieee.org
Understanding liquid spray is essential for spray applications, including but not limited to
designing fuel-efficient engines. Due to the challenges involved in collecting real-world …

[PDF][PDF] Characterization of Sprays by Image Recognition with Neural Networks

G Schaldach, D Pieloth… - … Conference on Liquid …, 2021 - journals.ed.ac.uk
For quality control of medical spray nozzles, control systems must be capable of
characterizing sprays based on droplet size distribution. Image analysis methods are a …

液滴可視化画像に対する深層学習を用いた深度予測手法の提案

小原昭, 菊池飛鳥, 川本裕樹, 杉山直輝… - 自動車技術会論文 …, 2021 - jstage.jst.go.jp
抄録 尿素 SCR システムにおける尿素噴霧液滴の微粒化検証や粒径計測には,
高速度カメラにより撮影された液滴可視化画像が用いられる. 本研究では被写界深度ボケの影響を …