Username   Password       Forgot your password?  Forgot your username? 


Volume 14 - 2018

No.1 January 2018
No.1 January 2018
No.3 March 2018
No.3 March 2018
No.4 April 2018
No.4 April 2018
No.5 May 2018
No.5 May 2018

Volume 13 - 2017

No.4 July 2017
No.4 July 2017
No.5 September 2017
No.5 September 2017
No.7 November 2017
No.7 November 2017
No.8 December 2017
No.8 December 2017

Volume 12 - 2016

Volume 11 - 2015

Volume 10 - 2014

Volume 9 - 2013

Volume 8 - 2012

Volume 7 - 2011

Volume 6 - 2010

Volume 5 - 2009

Volume 4 - 2008

Volume 3 - 2007

Volume 2 - 2006


Numerical Analysis of Ventilation for Ship E/R with CFD Method

Volume 14, Number 3, March 2018, pp. 531-546
DOI: 10.23940/ijpe.18.03.p14.531546

Jianping Chena, Jie Xub, Litao Wanga, Xinen Chena, and You Gonga

aSchool of Ship Engineering, Guangzhou Maritime University, Guangzhou, 510725, China
bFaculty of Automation, Guangdong University of Technology, Guangzhou, 510006, China

(Submitted on December 12, 2017; Revised on January 13, 2018; Accepted on February 16, 2018)


The paper presents a CFD numerical simulation method for ship engine room ventilation. First, through the discretization of the fluid governing equations, apply the basic physical model of ship engine room established by GABIT Software to lay out the engine room outlet according to the air supply and then divide the meshes. After the physical model is established, import the FLUENT and then reasonably choose the boundary conditions, solving methods and solving precision. Finally, obtain the optimal scheme by the example of researching the airflow velocity, temperature and humidity distribution under different ventilation schemes, and compare the characteristics of various schemes. The method presented in the paper has a strong significance of theoretical analysis and practical guidance for optimizing the ventilation of the ship engine room.


References: 11

  1. N. Chen, D. Zhang, “Calculation of Mechanical Ventilation in Ship Engine Room and Analysis of Airflow”, Ship Science and Technology, vol.31, no.3, pp. 73-76,2009
  2. W. J. Hao, Y. X. Wang, “Numerical Simulation of Temperature Field and Velocity Field in The Engine Room”, Journal of Dalian Maritime University, vol.31, no.1, pp.39-41.68,2005
  3. X. Huang, “Air Conditioner Engineer”, Chinese Machine Press, pp.6-7,2006
  4. F. Jiang, “FLUENTAdvanced Application and Case Analysis”, Beijing: Tsinghua University Press, pp. 7-45, 2008.
  5. F. G. Liu, X. S. Meng, Y. Zhang, “Numerical Simulation of Thermal Environment in Ship Engine Room”, Journal of Dalian Maritime University, vol.37, no.2, pp.136-138,2011
  6. D. H. Qi, “Influence of Indoor Obstruction on Airflow Structure in Embedded Air - Conditioning Room”, Shanghai Jiao Tong University, pp.60-62,2009
  7. H. Sha, “Ventilation of Engine Room, Chinese Version Translated by Lin Ruidong”, Renmin Press, pp.89-124,1956
  8. W. C. Suo, X. C. Wang, “Numerical Simulation of Air Flow Field in Boat Engine Room”, Ship Science and Technology, vol.30, no.1, pp. 149-152,2008
  9. W. Q. Tao, “Numerical Heat Transfer (2nd Edition)”, Xi’an:  Xi'an Jiaotong University Press, pp. 483-487, 2001
  10. Y. Yu,” FLUENT Getting Started with Advanced Tutorials”, Beijing: Beijing Institute of Technology Press, pp. 236-258,2008
  11. S. Zhou, “Numerical Simulation of Thermal Environment of Diesel Engine”, Dalian Maritime University,2010.


Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

Download this file (IJPE-2018-03-14.pdf)IJPE-2018-03-14.pdf[Numerical Analysis of Ventilation for Ship E/R with CFD Method]1408 Kb


Prev Next

Temporal Multiscale Consumption Strategies of Intermittent Energy based on Parallel Computing

Huifen Chen, Yiming Zhang, Feng Yao, Zhice Yang, Fang Liu, Yi Liu, Zhiheng Li, and Jinggang Wang

Read more

Decision Tree Incremental Learning Algorithm Oriented Intelligence Data

Hongbin Wang, Ci Chu, Xiaodong Xie, Nianbin Wang, and Jing Sun

Read more

Spark-based Ensemble Learning for Imbalanced Data Classification

Jiaman Ding, Sichen Wang, Lianyin Jia, Jinguo You, and Ying Jiang

Read more

Classification Decision based on a Hybrid Method of Weighted kNN and Hyper-Sphere SVM

Peng Chen, Guoyou Shi, Shuang Liu, Yuanqiang Zhang, and Denis Špelič

Read more

An Improved Algorithm based on Time Domain Network Evolution

Guanghui Yan, Qingqing Ma, Yafei Wang, Yu Wu, and Dan Jin

Read more

Auto-Tuning for Solving Multi-Conditional MAD Model

Feng Yao, Yi Liu, Huifen Chen, Chen Li, Zhonghua Lu, Jinggang Wang, Zhiheng Li, and Ningming Nie

Read more

Smart Mine Construction based on Knowledge Engineering and Internet of Things

Xiaosan Ge, Shuai Su, Haiyang Yu, Gang Chen, and Xiaoping Lu

Read more

A Mining Model of Network Log Data based on Hadoop

Yun Wu, Xin Ma, Guangqian Kong, Bin Wang, and Xinwei Niu

Read more
This site uses encryption for transmitting your passwords.