Prediction model of mechanical loss in turbocharger

Satoshi Sakagami, Akane Uemichi, Yudai Yamasaki, Shigehiko Kaneko

研究成果: Paper

抄録

Recently, internal combustion (IC) engine systems for automobiles have been required to improve the whole efficiency in a real world. Above all, the turbocharged engine system is attracting attentions. Therefore, it is quite important to consider efficiencies of machine elements such as a turbocharger as well as those related to the combustion process. However, the methods for estimating thermal and mechanical losses of the turbocharger separately and precisely have not been established. In this research, to propose mathematical model capable of predicting mechanical loss induced in a turbocharger, we started with deriving governing equation of the friction loss by a journal bearing and a thrust bearing under operating condition and finally compared with reported data to validate the proposed method. In addition, sensitivity analysis based on the proposed model is performed to investigate the influence of individual physical factors such as rotational speed of the turbocharger, lubrication oil temperature, flow rate and the thrust force on the friction work.

元の言語English
出版物ステータスPublished - 2017 1 1
外部発表Yes
イベント9th International Conference on Modeling and Diagnostics for Advanved Engine Systems, COMODIA 2017 - Okayama, Japan
継続期間: 2017 7 252017 7 28

Other

Other9th International Conference on Modeling and Diagnostics for Advanved Engine Systems, COMODIA 2017
Japan
Okayama
期間17/7/2517/7/28

Fingerprint

Friction
Thrust bearings
Journal bearings
Internal combustion engines
Automobiles
Sensitivity analysis
Lubrication
Flow rate
Mathematical models
Engines
Temperature
Oils
Hot Temperature

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

これを引用

Sakagami, S., Uemichi, A., Yamasaki, Y., & Kaneko, S. (2017). Prediction model of mechanical loss in turbocharger. 論文発表場所 9th International Conference on Modeling and Diagnostics for Advanved Engine Systems, COMODIA 2017, Okayama, Japan.

Prediction model of mechanical loss in turbocharger. / Sakagami, Satoshi; Uemichi, Akane; Yamasaki, Yudai; Kaneko, Shigehiko.

2017. 論文発表場所 9th International Conference on Modeling and Diagnostics for Advanved Engine Systems, COMODIA 2017, Okayama, Japan.

研究成果: Paper

Sakagami, S, Uemichi, A, Yamasaki, Y & Kaneko, S 2017, 'Prediction model of mechanical loss in turbocharger' 論文発表場所 9th International Conference on Modeling and Diagnostics for Advanved Engine Systems, COMODIA 2017, Okayama, Japan, 17/7/25 - 17/7/28, .
Sakagami S, Uemichi A, Yamasaki Y, Kaneko S. Prediction model of mechanical loss in turbocharger. 2017. 論文発表場所 9th International Conference on Modeling and Diagnostics for Advanved Engine Systems, COMODIA 2017, Okayama, Japan.
Sakagami, Satoshi ; Uemichi, Akane ; Yamasaki, Yudai ; Kaneko, Shigehiko. / Prediction model of mechanical loss in turbocharger. 論文発表場所 9th International Conference on Modeling and Diagnostics for Advanved Engine Systems, COMODIA 2017, Okayama, Japan.
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