Optimization of the Parallel-Flow Condenser Fins Based on Monte Carlo Method

Based on Monte Carlo method, the air-side heat transfer and flow of parallel flow condenser are optimized under the working state of household air-conditioning, and effects upon heat transfer coefficient and pressure drop caused by various fin geometric parameter combinations are analyzed . Accordin...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhang Ronghua, Cheng Wenlong
Format: Article
Language:zho
Published: Journal of Refrigeration Magazines Agency Co., Ltd. 2011-01-01
Series:Zhileng xuebao
Subjects:
Online Access:http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2011.05.053
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850232982346924032
author Zhang Ronghua
Cheng Wenlong
author_facet Zhang Ronghua
Cheng Wenlong
author_sort Zhang Ronghua
collection DOAJ
description Based on Monte Carlo method, the air-side heat transfer and flow of parallel flow condenser are optimized under the working state of household air-conditioning, and effects upon heat transfer coefficient and pressure drop caused by various fin geometric parameter combinations are analyzed . According to the results of optimization, the height of fin and the length of shutter are the main factors which affect heat transfer. If the two factors are both increased, the heat transfer coefficient will be increased and in the meantime the pressure drop reduced. Besides, it can be concluded that the width of fin will greatly affect pressure loss, as any slight decrease of the former will cause great reduction of the latter. But the width of fin has little effect on heat transfer coefficient. Meanwhile, the fin pitch and shutter angle are secondary factors which influence heat transfer coefficient and pressure drop. The decrease of fin pitch or any increase of the shutter angle can lead to increase of heat transfer coefficient and pressure drop. The fin geometric parameter combination gotten through this method can greatly improve Parallel Flow Condenser’s heat transfer ability on the premise of satisfying pressure drop.
format Article
id doaj-art-248443dfc717443fb635a4ae5a3d1f4f
institution OA Journals
issn 0253-4339
language zho
publishDate 2011-01-01
publisher Journal of Refrigeration Magazines Agency Co., Ltd.
record_format Article
series Zhileng xuebao
spelling doaj-art-248443dfc717443fb635a4ae5a3d1f4f2025-08-20T02:03:01ZzhoJournal of Refrigeration Magazines Agency Co., Ltd.Zhileng xuebao0253-43392011-01-013266519395Optimization of the Parallel-Flow Condenser Fins Based on Monte Carlo MethodZhang RonghuaCheng WenlongBased on Monte Carlo method, the air-side heat transfer and flow of parallel flow condenser are optimized under the working state of household air-conditioning, and effects upon heat transfer coefficient and pressure drop caused by various fin geometric parameter combinations are analyzed . According to the results of optimization, the height of fin and the length of shutter are the main factors which affect heat transfer. If the two factors are both increased, the heat transfer coefficient will be increased and in the meantime the pressure drop reduced. Besides, it can be concluded that the width of fin will greatly affect pressure loss, as any slight decrease of the former will cause great reduction of the latter. But the width of fin has little effect on heat transfer coefficient. Meanwhile, the fin pitch and shutter angle are secondary factors which influence heat transfer coefficient and pressure drop. The decrease of fin pitch or any increase of the shutter angle can lead to increase of heat transfer coefficient and pressure drop. The fin geometric parameter combination gotten through this method can greatly improve Parallel Flow Condenser’s heat transfer ability on the premise of satisfying pressure drop.http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2011.05.053engineering thermophysicsHousehold air-conditioningparallel flow condenserparameter optimizationMonte Carlo
spellingShingle Zhang Ronghua
Cheng Wenlong
Optimization of the Parallel-Flow Condenser Fins Based on Monte Carlo Method
Zhileng xuebao
engineering thermophysics
Household air-conditioning
parallel flow condenser
parameter optimization
Monte Carlo
title Optimization of the Parallel-Flow Condenser Fins Based on Monte Carlo Method
title_full Optimization of the Parallel-Flow Condenser Fins Based on Monte Carlo Method
title_fullStr Optimization of the Parallel-Flow Condenser Fins Based on Monte Carlo Method
title_full_unstemmed Optimization of the Parallel-Flow Condenser Fins Based on Monte Carlo Method
title_short Optimization of the Parallel-Flow Condenser Fins Based on Monte Carlo Method
title_sort optimization of the parallel flow condenser fins based on monte carlo method
topic engineering thermophysics
Household air-conditioning
parallel flow condenser
parameter optimization
Monte Carlo
url http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2011.05.053
work_keys_str_mv AT zhangronghua optimizationoftheparallelflowcondenserfinsbasedonmontecarlomethod
AT chengwenlong optimizationoftheparallelflowcondenserfinsbasedonmontecarlomethod