1 citations · 1 across the 4 of their papers we have counts for
5 papers · 1 filter
Reconstruction of three-dimensional fluid stress field via photoelasticity using physics-informed convolutional encoder-decoder
Daichi Igarashi, Shunsuke Kumagai, Yuto Yokoyama +3
Measuring stress fields in fluids and soft materials is crucial in various fields such as mechanical engineering, medicine, and bioengineering. However, conventional methods that c…
Optimal standoff distance for a highly focused microjet penetrating a soft material
Daichi Igarashi, Kento Kimura, Nanami Endo +3
A needle-free injector using a highly focused microjet has the potential to minimize the invasiveness of drug delivery. In this study, the jet penetration depth in a soft material-…
The effects of cavitation position on the velocity of a laser-induced microjet extracted using explainable artificial intelligence
Daichi Igarashi, Jingzu Yee, Yuto Yokoyama +2
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 i…
Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence
Jingzu Yee, Daichi Igarashi, Pradipto +2
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 fro…
Prediction of the morphological evolution of a splashing drop using an encoder-decoder
Jingzu Yee, Daichi Igarashi, Shun Miyatake +1
The impact of a drop on a solid surface is an important phenomenon that has various implications and applications. However, the multiphase nature of this phenomenon causes complica…