Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)

Numerical Simulation Research on Flow and Heat Transfer Process of Fuel Nozzle

Authors
Yi Zhang, Yubin Men
Corresponding Author
Yi Zhang
Available Online August 2019.
DOI
10.2991/msbda-19.2019.5How to use a DOI?
Keywords
Thermal protection, Coke deposition, Fluid-thermal-solid interaction, Numerical simulation
Abstract

This article presents an investigation on the flow and heat transfer process of a gas turbine fuel nozzle with double channel. The fuel which is influenced by low flow velocity and high-temperature air around nozzle has high probability of coke deposition. The coke deposition problem is related with fuel temperature which is determined by flow and heat transfer process. A three-dimensional fluid-thermal-solid interaction numerical simulation solution is applied to acquire the temperature distribution characteristic in fuel nozzle. The numerical simulation result shows that the flow parameters of both air and flue have influence on the temperature distribution characteristic in fuel nozzle.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
Series
Advances in Computer Science Research
Publication Date
August 2019
ISBN
10.2991/msbda-19.2019.5
ISSN
2352-538X
DOI
10.2991/msbda-19.2019.5How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yi Zhang
AU  - Yubin Men
PY  - 2019/08
DA  - 2019/08
TI  - Numerical Simulation Research on Flow and Heat Transfer Process of Fuel Nozzle
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 28
EP  - 32
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.5
DO  - 10.2991/msbda-19.2019.5
ID  - Zhang2019/08
ER  -