contributor author | Jiang, Boyan | |
contributor author | Yang, Xiaopei | |
contributor author | Wang, Jun | |
contributor author | Lin, Zhiliang | |
contributor author | Hu, Jinkang | |
date accessioned | 2024-04-24T22:50:33Z | |
date available | 2024-04-24T22:50:33Z | |
date copyright | 1/16/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 0889-504X | |
identifier other | turbo_146_5_051007.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4295971 | |
description abstract | An improved passage-flow turning model (IPTM) was developed in this study to design high-performance forward-curved blades for squirrel-cage fans. The flow separation in blade passages and the corresponding fan performance were compared between IPTM and traditional methods through computational fluid dynamics (CFD). The results show that correcting the blade inlet angle, based on the zero-incidence design, is crucial to prevent separation of the passage mainstream from the blade pressure surface. The blade shape with second-order smoothness also exhibits the thinnest separation and highest efficiency when other design parameters remain constant. Considering these findings, the blades designed by IPTM outperform traditional blades with the same inlet and outlet angles. The optimal values of the turning radius R¯T and the decelerating factor of the leading half blade ɛ were determined based on the CFD results. The designed blade achieves high pressure when these two parameters satisfy R¯T=−0.185ε+0.29175, while achieving high efficiency when they satisfy R¯T=−0.31ε+0.4425. To confirm the advantages of IPTM, an optimal IPTM-based blade was manufactured and measured. The results indicated that the maximum increase in fan pressure and efficiency reaches 10% and 6%, respectively. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | An Improved Passage-Flow Turning Model for Forward-Curved Blades of Squirrel-Cage Fan | |
type | Journal Paper | |
journal volume | 146 | |
journal issue | 5 | |
journal title | Journal of Turbomachinery | |
identifier doi | 10.1115/1.4064309 | |
journal fristpage | 51007-1 | |
journal lastpage | 51007-16 | |
page | 16 | |
tree | Journal of Turbomachinery:;2024:;volume( 146 ):;issue: 005 | |
contenttype | Fulltext | |