交通機械工学科

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

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 author
  • 業天 祐治, 薮下 広高, 永岡 真, 齋藤 崇志, 吉岡 雅也
    自動車技術会論文集, 53(1) 114-118, Jan, 2022  Peer-reviewed
  • 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  
  • Yoshihiro Nomura, Seiji Yamamoto, Makoto Nagaoka, Stephan Diel, Kenta Kurihara, Rio Shimizu, Eiji Murase
    INTERNATIONAL JOURNAL OF ENGINE RESEARCH, 22(8) 2560-2574, Jul, 2021  
    A new predictive combustion model for a one-dimensional computational fluid dynamics tool in the multibody dynamics processes of gasoline engines was developed and validated. The model consists of (1) a turbulent burning velocity model featuring a flame radius-based transitional function, steady burning velocity that considers local quenching using the Karlovitz number and laminarization by turbulent Reynolds number, as well as turbulent flame thickness and its quenching model near the liner wall, and (2) a knock model featuring auto-ignition by the Livengood-Wu integration and ignition delay time obtained using a full-kinetic model. The proposed model and previous models were verified under a wide range of operating conditions using engines with widely different specifications. Good agreement was only obtained for combustion characteristics by the proposed model without requiring individual calibration of model constants. The model was also evaluated for utilization after prototyping. Improved accuracy, especially of ignition timing, was obtained after further calibration using a small amount of engine data. It was confirmed that the proposed model is highly accurate at the early stage of the engine development process, and is also applicable for engine calibration models that require higher accuracy.
  • YABUSHITA Hirotaka, NAGAOKA Makoto, YOSHIOKA Masaya, MORI Yuichi
    Transactions of the JSME (in Japanese), 87(895) 20-00358-20-00358, Mar, 2021  
    A novel total hydrocarbon (THC) emission concentration estimation model is proposed for reduction of engine development cost as well as simplification of measurement system. The model is based on machine learning algorithm including the least absolute shrinkage and selection operator (LASSO) regression and bagging techniques. Major features of the proposal model are taking the absorbance spectrum of Fourier transform infrared (FTIR) spectrometer as input and incorporating not only spectra of the engine exhaust gas but also those of individual hydrocarbon and inorganic gas components as training data set. This method was validated on the exhaust gas before the catalyst of a gasoline engine. The results show an error of less than 5% in both steady and transient operating conditions, outperforming the 20 % error of conventional regression model using only the reference hydrocarbon concentrations. We also evaluate the contribution to performance improvements in THC estimation of employing FTIR spectrum and incorporating spectrum information of gas components, respectively.

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