Taku Nonomura

Associate Professor

Tohoku University

Japan

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Dr. Taku Nonomura is an Associate Professor at Tohoku University, Japan. His research focuses on fluid mechanics, particularly in the areas of flow visualization, sensor technology, and dynamic mode decomposition. Recent articles include studies on real-time feedback control of flow fields, aerodynamic characteristics, and innovative measurement techniques in compressible flows. Dr. Nonomura's work significantly contributes to the understanding and advancement of particle image velocimetry and modeling of two-phase flows.

Articles (29)

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JAPAN

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Hikaru Aono

associate professor

Shinshu Daigaku - Ueda Campus

JAPAN

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Yuta Ozawa

Project Assistant Professor

Tohoku Daigaku

JAPAN

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Shigeru Obayashi

Professor

Tohoku University

JAPAN

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Yasuhiro Egami

Professor

Aichi Institute of Technology

JAPAN

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Taku Nonomura

Research Interests

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About

Articles (29)

Dynamic mode decomposition based on expectation–maximization algorithm for simultaneous system identification and denoising

Real-time feedback control of flow velocity field using sparse processing particle image velocimetry and plasma actuators

Aerodynamic Characteristics of Magnetically Suspended Square Cylinders with Low Fineness Ratio

Schlieren visualization and drag measurement on compressible flow over a circular cylinder at Reynolds number of $$\mathcal {O}(10^2)$$

Fast Data-Driven Greedy Sensor Selection for Ridge Regression

Enhancing reduced-order modeling using dynamic mode decomposition for two-phase flows through level set functions

Robust and multiresolution sparse processing particle image velocimetry for improvement in spatial resolution

Unsteady flow field behind levitated short-finite circular cylinder with angle of attack

Measuring tiny pressure fluctuations using fast pressure-sensitive paint and phase-lock technology: Uniformity evaluation of resonance tube

A wind tunnel test method for Magnus force measurement on rotating spheres using a 1-m magnetic suspension and balance system

Improved estimation of yaw angle and surface pressure distribution of Ahmed model with optimized sparse sensors by Bayesian framework based on pressure-sensitive paint data

P–S Travel-Time Detection and Hypocenter Location of Low-SNR Events Using Polarization in the Time–Frequency Domain

Assessment of Sensor Optimization Methods Toward State Estimation in a High-Dimensional System Using Kalman Filter

Dual-luminophore pressure-sensitive paint measurement using three-gate lifetime method with photodegradation correction

High-efficiency sound source localization using data-driven sparse sampling with validation using monopole laser sound source

Indexes for evaluation of dynamic characteristics of pressure-sensitive paint based on pressure sensitivity and frequency response

Experimental Parametric Study on Flow Separation Control Mechanisms around NACA0015 Airfoil Using a Plasma Actuator with Burst Actuation over Reynolds Numbers of 105–106

Data Assimilation of Ideally Expanded Supersonic Jet Using RANS Simulation for High-Resolution PIV Data

Spatial superresolution based on simultaneous dual PIV measurement with different magnification

Evaluation of characteristics of fast-response pressure-sensitive paint under low-pressure conditions

Observation site selection for physical model parameter estimation towards process-driven seismic wavefield reconstruction

Comparison of Separation Control Mechanisms for Synthetic Jet and Plasma Actuators

Efficient Sensor Node Selection for Observability Gramian Optimization

Reservoir computing reduced-order model based on particle image velocimetry data of post-stall flow

Experimental Observations of Transient Flows in Separation Control Using a Plasma Actuator

Effect of angle of attack on aerodynamic characteristics of levitated freestream-aligned circular cylinder

Model position sensing method for low fineness ratio models in a magnetic suspension and balance system

Flow Control around NACA0015 Airfoil Using a Dielectric Barrier Discharge Plasma Actuator over a Wide Range of the Reynolds Number

Randomized Group-Greedy Method for Large-Scale Sensor Selection Problems

Collaborators (11)

Masanobu Inubushi

kazuki uchida

Yusuke Mukuhira

Yuji Saito

Shin-ichi Ito

Takayuki Nagata

Kozo Fujii

Hikaru Aono

Yuta Ozawa

Shigeru Obayashi

Yasuhiro Egami

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