Physical laws from observational results! Estimation and control of flow using data science.
Monozukuri (Saitama University Research Seed Collection 2025-27 p.56)
Keywords: Fluid machinery, fluid instability phenomena, data science, flow control, jet flow
We are conducting research to estimate the state of fluids from observational data and control their flow. As specific examples, I will introduce research on estimating urinary flow rate and the internal state of turbo machinery. First, we apply the phenomenon of fluid interface instability as a non-contact method for measuring urine flow. Specifically, when liquid flows out from a nozzle with a cross-section that is not circular but elongated elliptical, we can observe the phenomenon where the major and minor axes of the elongated elliptical cross-section switch immediately after the outflow. This phenomenon, called "axis switching," is also observed in actual urination, and there is a correlation between the wavelength of urination and the urine flow rate. By recording the time series data of the wavelength, it becomes possible to estimate the urine flow rate. Furthermore, by combining not only the wavelength but also the width of urination and sound information, we enhance the accuracy of urine flow rate estimation. In addition, by using data science, we accurately reproduce the state variables (pressure, flow velocity) inside turbo machinery from data collected at limited observation points.
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basic information
Kang Dong-hyuk, Associate Professor Graduate School of Science and Technology, Department of Mechanical Science, Production Science Area 【Recent Research Themes】 ● Digital Twin of Hydrogen Production Process ● Development of Hydrogen Leak Detection System ● Estimation of Dynamic Characteristics of Turbo Machines and Flow Control using Data Science ● Development of Urine Flow Estimation Method using Data Science
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【Appeal Points to the Industry】 ● Design of flow ● Control of flow ● Estimation of flow ● Vibration and noise issues caused by flow ● Anomaly detection due to flow 【Examples of Practical Application, Use Cases, and Utilization】 ● Estimation of flow using big data ● Visualization of flow ● Control of flow
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Flow field of turbomachinery reproduced using numerical calculation and data science models.
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The Saitama University Open Innovation Center is a center that functions as a liaison office for industry-academia-government collaboration. It consists of three departments: the Industry-Academia-Government Collaboration Department, the Intellectual Property Department, and the Startup Support Department, each staffed with coordinators well-versed in various fields. The center's activities include solving technical challenges in companies, supporting the implementation of joint research, and conducting technology transfer aimed at introducing and utilizing Saitama University's intellectual property.