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(Created page with " ==Abstract== N/A ==Introduction== Axial fans have many used in industries, one of them is for air cooled chillers and cooling towers. Cooling tower and chillers are of gre...")
 
(Acknowledgement)
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==Acknowledgement==
 
==Acknowledgement==
  
This research was conducted to complete the computational fluid dynamics class, in Mechanical Engineering Department, Universitas Indonesia, as the final project. The author thank Dr. Ahmad Indra as our advisor, and also Bang Edo, Bang Bani, Ales, Abi, Elvin, Mas Agus, Josiah, and all other students for the valuable discussion in creating this research paper.
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This research was conducted to complete the computational fluid dynamics class, in Mechanical Engineering Department, University of Indonesia, as the final project. The author thanks Dr. Ahmad Indra as our advisor as well as fellow classmates which has provided the author with helps.
  
 
==References==
 
==References==

Revision as of 14:46, 5 January 2021

Abstract

N/A

Introduction

Axial fans have many used in industries, one of them is for air cooled chillers and cooling towers. Cooling tower and chillers are of great importance in industries, and their performance relies heavily on evaporative cooling. Since the airflow is crucial to the thermal performance, fillers are designed such that the airflow quality could be maintained. Rain droplets from heavy rain may affect the air flow behavior of the systems.

Computational fluid dynamics have been used to analyze air-droplets multiphase before. Cai et al. (2012) performs a CFD simulation to analyze performance of wind turbine during heavy rain condition. Cohan and Hamid (2016) performs an analysis of rain and surface property wind turbine performance using multiphase CFD analysis. The analysis on propeller and fan under raining condition however, have yet to be investigated. The objective of this study is as follows:

1) To investigate the effect of rain intensity on the pressure difference created;

2) To give suggestion on the possible future experimental research based on the numerical simulation results;

Methodology

Software Description

Simulation is done on CFDSOF, a CFD software developed by CCIT group. Both numerical simulation as well as mesh generation is done using this software. Paraview is used for post processing

Model Assumption and Verification

The assumption and constrain applied are as follows

1) gravity is assumed to be constant 9.8 m/s^2

2) The model is turbulent using SST k-omega model

3) Multiphase model is set by coupling DPM and VOF models

4) Constant mass-flow rate.

5) Constant frame-motion, rotational movement. This is converted to 2D relative motion to reduce computation load.

6) Calculation will not involve energy equation.

7) Air-water flow system will be used. Air and water density is assumed to be constant.


Model setup

Parameters to be Analyzed

Lift coefficient as well as drag coefficient and pressure coefficient of the blade under rain will be compared to the values under no-rain condition.

Results and Discussion

Conclusion

Acknowledgement

This research was conducted to complete the computational fluid dynamics class, in Mechanical Engineering Department, University of Indonesia, as the final project. The author thanks Dr. Ahmad Indra as our advisor as well as fellow classmates which has provided the author with helps.

References

Cohan, A. C., & Arastoopour, H. (2016). Numerical simulation and analysis of the effect of rain and surface property on wind-turbine airfoil performance. International Journal of Multiphase Flow, 81, 46-53. doi:10.1016/j.ijmultiphaseflow.2016.01.006;

Cai, M., Abbasi, E., & Arastoopour, H. (2012). Analysis of the Performance of a Wind-Turbine Airfoil under Heavy-Rain Conditions Using a Multiphase Computational Fluid Dynamics Approach. Industrial & Engineering Chemistry Research, 52(9), 3266-3275. doi:10.1021/ie300877t Kawahara, A., Chung, P. and Kawaji, M., 2002. Investigation of two-phase flow pattern, void fraction and pressure drop in a microchannel. International Journal of Multiphase Flow, 28(9), pp.1411-1435.