Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

Grid Generation Research for Intake-exhaust Closing Internal Combustion Engine Using KIVA Software

Authors
Tianpen Zhao, Yongfeng Liu, Yan Shi
Corresponding Author
Tianpen Zhao
Available Online January 2016.
DOI
10.2991/icca-16.2016.18How to use a DOI?
Keywords
KIVA3V, Grid generation, Internal combustion engine
Abstract

In order to simulate the combustion process of the internal combustion engine, a new grid generation was carried. This paper developed the KIVA-3V software to establish a gasoline engine combustion chamber model. Firstly, the schematic of grid generation and block of combustion zone is given out. The data file (IPREP) and other files are built up, and the grid data of gasoline engine combustion chamber is obtained. Secondly, the output files are obtained by running the KIVA-3V. Finally, the new three dimensional grids of the intake-exhaust closing internal combustion engine are obtained. It gives a new way to build up simulation grid for internal engine.

Copyright
© 2016, 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 2016 International Conference on Intelligent Control and Computer Application
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-154-4
ISSN
2352-538X
DOI
10.2991/icca-16.2016.18How to use a DOI?
Copyright
© 2016, 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  - Tianpen Zhao
AU  - Yongfeng Liu
AU  - Yan Shi
PY  - 2016/01
DA  - 2016/01
TI  - Grid Generation Research for Intake-exhaust Closing Internal Combustion Engine Using KIVA Software
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 76
EP  - 79
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.18
DO  - 10.2991/icca-16.2016.18
ID  - Zhao2016/01
ER  -