Zhileng xuebao (Jan 2011)
Optimization of the Parallel-Flow Condenser Fins Based on Monte Carlo Method
Abstract
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.
