Curriculum Vitaes

Makoto Nagaoka

  (永岡 真)

Profile Information

Affiliation
Professor, Faculty of Engineering Department of Mechanical Engineering for Transportation, Osaka Sangyo University

Researcher number
90394600
J-GLOBAL ID
202201010673897653
researchmap Member ID
R000035619

Major Papers

 50
  • 永岡 真, 業天 祐治, 齋藤 崇志, 薮下 広高
    自動車技術会論文集, 53(5) 904-909, Sep, 2022  Peer-reviewedLead authorCorresponding author
  • Hirotaka Yabushita, Makoto Nagaoka, Yuji Gyoten, Masaya Yoshioka, Yuichi Mori
    SAE International Journal of Advances and Current Practices in Mobility, 4(2) 583-591, Sep 21, 2021  Peer-reviewed
  • Moriyasu Ryuta, Ueda Matsuei, Nagaoka Makoto, Ikeda Taro, Nishikawa Kazuaki, Nojiri Sayaka, Jimbo Tomohiko, Matsunaga Akio, Nakamura Toshihiro
    Transactions of Society of Automotive Engineers of Japan, 49(6) 1162-1166, Nov, 2018  Peer-reviewedCorresponding author
    This paper considers machine learning based virtual design process of engine control system, and the demonstration in a diesel engine air path control is shown. This process contains two steps of machine learning. In the first step, a control-oriented forward model that predicts the transient behavior of the engine is learned from detailed engine model by using recurrent neural network (RNN). In the second step, an inverse model that determines the optimal control inputs to follow the references is learned from the numerical computation results of the offline model predictive control (MPC). The forward and inverse models could be used as a state observer and a controller, respectively, in a control system. An experiment of a diesel air path control system designed by the process was conducted using rapid control prototyping (RCP), and its following capability to the reference was demonstrated.
  • 微粒化 = Atomization : journal of the ILASS-Japan, 27(91) 43-49, Jul, 2018  Peer-reviewedCorresponding author
  • NAGATA Mitsuhiro, NAGAOKA Makoto
    Transactions of the JSME (in Japanese), 82(838) 16-00073-16-00073, Jun, 2016  Peer-reviewedCorresponding author
    A direct numerical simulation of compressible turbulent channel flow at low Mach number(Ma = 0.3) subject to strong temperature gradient is conducted. The wall temperature ratios which are defined by a temperature on the upper wall divided by that on the lower one, are set to 2 and 3. It is shown that the flow of high temperature wall side is laminarized as increasing the wall temperature ratio. Moreover, compressible and dilatational motions are induced on the low and high temperature wall sides, respectively. The identity of friction coefficient originally derived by Fukagata et al.(2002) (so-called ‘FIK identity’) is extended to those of friction coefficient and Nusselt number on the compressible channel flow. It is revealed that the viscous variation component attains to 16 % of the friction coefficient on the case of high temperature ratio. Furthermore, the pressure work component occupies about 20 % of the overall Nusselt number for the all cases. The pressure work has a redistributive effect between mean kinetic energy and internal energy. The energy transfer from mean kinetic energy to internal energy appears on the low temperature side whereas that toward the opposite direction on the high temperature side at the present low Mach number flow.
  • Naoki Baba, Hiroaki Yoshida, Makoto Nagaoka, Chikaaki Okuda, Shigehiro Kawauchi
    Journal of Power Sources, 252 214-228, Apr, 2014  Peer-reviewedCorresponding author
    To understand the thermal behavior of lithium-ion secondary batteries, distributed information related to local heat generation across the entire electrode plane, which is caused by the electrochemical reaction that results from lithium-ion intercalation or deintercalation, is required. To accomplish this, we first developed an enhanced single particle (ESP) model for lithium-ion batteries that provides a cost effective, timely, and accurate method for estimating the local heat generation rates without excessive computation costs. This model accounts for all the physical processes, including the solution phase limitation. Next, a two-way electrochemical-thermal coupled simulation method was established. In this method, the three dimensional (3D) thermal solver is coupled with the quasi-3D porous electrode solver that is applied to the unrolled plane of spirally wound electrodes, which allows both thermal and electrochemical behaviors to be reproduced simultaneously at every computational time-step. The quasi-3D porous electrode solver implements the ESP model. This two-way coupled simulation method was applied to a thermal behavior analysis of 18650-type lithium-ion cells where it was found that temperature estimates of the electrode interior and on the cell can wall obtained via the ESP model were in good agreement with actual experimental measurements. © 2013 Elsevier B.V. All rights reserved.
  • Makoto Nagaoka, Katsuyuki Ohsawa, Brent Crary, Toshio Yamada, Shigeki Sugiura, Nobuo Imatake
    SAE Transactions,JOURNAL OF ENGINES, 106(3) 1369-1376, Jan, 1998  Peer-reviewedLead author
  • NAGAOKA Makoto, NOMURA Naomi
    61(587) 2744-2750, Jul 25, 1995  Peer-reviewedLead author
    A calculation method for steady compressible flows using a solution adaptive unstructured mesh is proposed and it's applicability is demonstrated for two-dimensional and axisymmetric engine intake flows. The mesh is generated by the rule-based Delaunay triangulation method. The governing equations are discretized by the finite volume method. The second order accurate Roe's upwind scheme is used for the inviscid flux calculation. The viscous fluxes are calculated by the transformation to the local general coordinates. The utility of the adaptive unstructured mesh method is shown in the 2D engine intake flow calculations. The present method using a low Reynolds number k-c model is valid for the velocity profile in the turbulent boundary layer. The calculated discharge coefficients with valve lifts in an axisymmetric engine agree well with the measurements.
  • Makoto Nagaoka, Hiromitsu Kawazoe, Naomi Nomura
    SAE Transactions,JOURNAL OF ENGINES, 103(3) 878-896, Jan, 1995  Peer-reviewedLead author
  • Makoto Nagaoka, Nariaki Horinouchi
    日本数値流体力学会, CFD Journal, Vol.2(No.2) 169-180, Sep, 1993  Peer-reviewedLead author
    圧縮性流れの解法において、非構造格子上で有限体積法による離散化と2次精度の空間差分スキームを用いる際、時間解法には前処理付きBi-CGSTAB法が当時一般的なRunge-Kutta法やガウスザイデル法に比べて定常解への収束が早くかつ安定であることを示した。

Misc.

 20
  • Hirotaka Iseki, Makoto Nagaoka, Shuntaro Yokoi, Naoto Horibe, Hiroshi Kawanabe
    SAE Technical Papers 2021-01-0603, (2021), Apr, 2021  Peer-reviewed
    For the measurements of flow rate, pressure and/or temperature in an engine exhaust pipe, probes are often inserted into the exhaust pipe depending on the application. These measurement probes differ a lot in terms of their size and shape. The flow around the probes become further complicated due to the pulsation of engine exhaust flow. In this study, computational fluid dynamics (CFD) simulations were carried out and a zero-dimensional (0D) model was constructed to analyze the flow field around the probe and flow rate of a pulsating flow. The simulations and the measurements of the flow rate and pressure were performed on flows around a hexagonal prism inserted in a circular pipe which is intended to be a differential pressure flow meter. The velocity field was also measured using the particle image velocimetry (PIV) technique. The CFD simulation results were validated with the experiments for both steady and pulsating flows. In the 0D model for pulsating flow, the flow acceleration as well as pipe friction and prism drag losses were taken into account. The flow rates calculated using the model agreed well with the CFD simulation results. The relationship between the flow rate and the pressure was analyzed using the CFD and the 0D model. In the low flow rate and low pressure difference period, the relationship between the flow rate and the square root of pressure difference deviated from linear and exhibited hysteresis due to the flow acceleration. The cycle-averaged flow rates calculated using the 0D model were closer to those by the CFD simulations than those of a conventional steady flow correlation.
  • Ryo Masuda, Shogo Sayama, Takayuki Fuyuto, Makoto Nagaoka, Akimitsu Sugiura, Yasushi Noguchi
    SAE Technical Papers 2018-01-1727, Sep, 2018  Peer-reviewed
    This report describes the implementation of the spark channel short circuit and blow-out submodels, which were described in the previous report, into a spark ignition model. The spark channel which is modeled by a particle series is elongated by moving individual spark particles along local gas flows. The equation of the spark channel resistance developed by Kim et al. is modified in order to describe the behavior of the current and the voltage in high flow velocity conditions and implemented into the electrical circuit model of the electrical inductive system of the spark plug. Input parameters of the circuit model are the following: initial discharge energy, inductance, internal resistance and capacitance of the spark plug, and the spark channel length obtained by the spark channel model. The instantaneous discharge current and the voltage are obtained as outputs of the circuit model. When two arbitrary spark particles of the spark channel get close, the short circuit occurs if the electric potential differences between the two locations exceed a certain threshold voltage, which is raised with increasing distance between the two particles and decreasing discharge current. When the current falls below a lower limit current for maintenance of discharge, the spark blow-out occurs. A new spark channel is formed if the secondary circuit has the remaining energy which can break the electrical insulation between electrodes. Each line element of the spark channel particles heats and ignites the surrounding mixture gas. The turbulent flame speed and extinction are considered in the flame kernel behavior. The behavior of the spark channel, the current and voltage of the secondary circuit, and the ignition limit due to in-creases in the EGR rate were consistent with data measured from the spark ignition process in a combustion chamber.
  • Mitsuhiro Nagata, Makoto Nagaoka
    Proc. 10th International Symposium on Turbulence and Shear Flow Phenomena (TSFP10), Oct, 2017  Peer-reviewed
  • Ryo Masuda, Kiyomi Kawamura, Makoto Nagaoka
    R&D Review of Toyota CRDL, Vol.45(No.3) 73-75, Sep, 2014  
  • Makoto Nagaoka, Reiko Ueda, Ryo Masuda, Eberhard von Berg, Reinhard Tatschl
    R&D Review of Toyota CRDL, Vol.42(No.2) 73-84, Jun, 2011  

Presentations

 1

Professional Memberships

 3

Industrial Property Rights

 13

研究テーマ

 2
  • 研究テーマ(英語)
    自動車の内燃機関・パワートレイン要素のサロゲートモデルの研究
    研究期間(開始)(英語)
    2015
  • 研究テーマ(英語)
    Analysis and modeling of fuel behavior for the utilization of carbon-neutral fuel and renewable energy
    研究期間(開始)(英語)
    2022