Jingzu Yee

Jingzu Yee
Tokyo University of Agriculture and Technology | TUAT · Department of Mechanical Systems Engineering

Doctor of Engineering

About

14
Publications
1,570
Reads
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58
Citations
Introduction
I am an assistant professor (postdoctoral researcher) at Tagawa Yoshiyuki's Lab of the Tokyo University of Agriculture and Technology. My research is mainly on understanding the phenomenon of splashing of a drop using explainable artificial intelligence (XAI).
Additional affiliations
June 2013 - August 2013
Evergreen Fibreboard Berhad
Position
  • Intern
Description
  • Internship at the Boiler Department. To learn and understand the operation of a boiler.
Education
October 2017 - March 2023
Tokyo University of Agriculture and Technology
Field of study
  • Mechanical Systems Engineering
October 2015 - September 2017
Tokyo University of Agriculture and Technology
Field of study
  • Mechanical Systems Engineering
September 2011 - October 2014
Tun Hussein Onn University of Malaysia
Field of study
  • Mechanical and Manufacturing Engineering

Publications

Publications (14)
Article
Full-text available
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 influenced by the volumes of secondary cavitation bubbles generated through laser absorption. However, there has been a lack of investigation of the relationshi...
Article
Full-text available
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 complications in the prediction of its morphological evolution, especially when the drop splashes. While most machine-learning-based drop-impact studies have centred around physi...
Preprint
Full-text available
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 complications in the prediction of its morphological evolution, especially when the drop splashes. While most machine-learning-based drop-impact studies have centred around physi...
Article
Full-text available
A high-resolution background-oriented schlieren (BOS) technique, which utilizes a high-resolution camera and a microdot background pattern, is proposed and used to measure the pressure field of an underwater shock wave in a microtube. The propagation of the shock wave subsequently reaches a concave water–air interface set in the microtube resulting...
Article
We have successfully extended the measurement range by applying Fast Checkerboard Demodulation (FCD) to Background-Oriented Schlieren (BOS) technique, which is a contactless measurement technique. In the experiment, the apparent displacement field on the background image distorted by underwater shock waves were measured using FCD-BOS and contact me...
Preprint
Full-text available
This paper reports the features of a splashing drop on a solid surface and the temporal evolution, which are extracted through image-sequence classification using a highly interpretable feedforward neural network (FNN) with zero hidden layer. The image sequences used for training-validation and testing of the FNN show the early-stage deformation of...
Conference Paper
Full-text available
View Video Presentation: https://doi.org/10.2514/6.2022-4174.vid This paper reports the features of a splashing drop on a solid surface and the temporal evolution, which are extracted through image-sequence classification using a highly interpretable feedforward neural network (FNN) with zero hidden layer. The image sequences used for training-vali...
Preprint
Full-text available
A high-resolution background-oriented schlieren (BOS) technique, which utilizes a high-resolution camera and a microdot background pattern, is proposed and used to measure the pressure field of an underwater shock wave in a microtube. The propagation of the shock wave subsequently reaches a concave water-air interface set in the microtube resulting...
Preprint
Full-text available
This article reports nonintuitive characteristic of a splashing drop on a solid surface discovered through extracting image features using a feedforward neural network (FNN). Ethanol of area-equivalent radius about 1.29 mm was dropped from impact heights ranging from 4 cm to 60 cm (splashing threshold 20 cm) and impacted on a hydrophilic surface. T...
Article
Full-text available
This article reports nonintuitive characteristic of a splashing drop on a solid surface discovered through extracting image features using a feedforward neural network (FNN). Ethanol of area-equivalent radius about 1.29 mm was dropped from impact heights ranging from 4 cm to 60 cm (splashing threshold 20 cm) and impacted on a hydrophilic surface. T...
Article
Full-text available
This study investigated the fluid–tissue interaction of needle-free injection by evaluating the dynamics of the cavity induced in body-tissue simulant and the resulting unsteady mechanical stress field. Temporal evolution of cavity shape, stress intensity field, and stress vector field during the injection of a conventional injection needle, a prop...
Conference Paper
Full-text available
In order to increase the thermal efficiency of a gas turbine, the operating temperature has to be increased. This increment may cause the material of the blade to melt. Film cooling is a good option to solve this problem. Various studies has been done on film cooling include the shallow hole and sister holes. The present study focused on an experim...

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