基于CFD的空调室外交流风机工作点预测研究

doi:10.19784/j.cnki.issn1672-0172.2021.06.016

Abstract

Abstract: As the key core component of air conditioner, the efficiency of fan directly affects the energy efficiency of air conditioner. Improving fan efficiency and correct blade design and selection are the key means to improve the energy efficiency of air conditioner. Based on an outdoor enclosure, three-dimensional Navier-Stokes equations and k-ζ turbulence model is adopted to achieve unsteady flow solving to obtain the characteristic data of the blades and the SIMPLE algorithm is selected to solve the pressure-velocity combinations. The working point data of fan is predicted with the help of the motor characteristic curve and the wind resistance curve of air conditioning outdoor unit. The results show that the predicted data coincide with experimental data, the deviation is less than 5%, which can effectively guide the selection and design of fan blade.

Key words: AC axial flow fan, Operating point, Prediction

CLC Number:

CAO Feng. The research on working point prediction of air conditioning outdoor AC fan based on CFD[J]. Journal of Appliance Science & Technology, 2021, 0(6): 94-97.

[1]	Chalearn Bouted, Chavalit Ratanatamskul, Alberto Salvo, Hashimoto K, Kawakami Y, Zhao Bin, Yi Ren, Gao Diankui, Shi Chengjiang, Xu Lizhi, Zhang Yuanyuan, Bin Hu R.Z. Wang, Biao Xiao, Lin He, Wei Zhang, Shihang Zhang, Stamminger R, Tecchio P, Ardente F, Mathieux F, Niestrath P, Shijiao Yan, Yong Gan, Xingyue Song, Yunqiang Chen, Na Liao, Song Chen, Chuanzhu Lv. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 8 -9 .
[2]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 10 -15 .
[3]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 16 -19 .
[4]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 20 -23 .
[5]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 24 -25 .
[6]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 34 -37 .
[7]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 40 -41 .
[8]	DU Ping, CHEN Yuanyuan, LIU Renshen. Simulation research on frequently used frequency control technology of inverter air conditioner[J]. Journal of Appliance Science & Technology, 2019, 0(1): 42 -44 .
[9]	CHEN Xueqing, TONG Lei, ZHOU Xiangling. Design of environmental monitoring and adjustment system for archival repository[J]. Journal of Appliance Science & Technology, 2019, 0(1): 45 -47 .
[10]	WANG Feng, GENG Jinghua, ZHU Lingyun. Drying control technology of washing machine[J]. Journal of Appliance Science & Technology, 2019, 0(1): 50 -52 .

The research on working point prediction of air conditioning outdoor AC fan based on CFD

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 4

Metrics

Comments

Recommended 10

[1]	CHEN Huafang, WANG Hongtao, FENG Longbiao. CFD simulation method and analysis of flow field in air fryer [J]. Journal of Appliance Science & Technology, 2022, 0(1): 96-100.
[2]	ZHUANG Zibao, ZHANG Liang. Study on sound insulation performance of double layer sound insulation cotton based on multi parameter nonlinear regression model [J]. Journal of Appliance Science & Technology, 2021, 0(zk): 291-294.
[3]	LI Yuting, JIANG Jun, ZHONG Ze, WANG Liya, HUANG Wencai, HU Haihong. Prediction of drawer impact noise of refrigerator [J]. Journal of Appliance Science & Technology, 2020, 0(zk): 292-295.
[4]	WANG Shuang, SHENG Baojing, CHEN Xiaolei, CHEN Yuanyuan, YAN Zhidan, CHEN Guo. Study on prediction method of remaining bath time of water storage electric water heater [J]. Journal of Appliance Science & Technology, 2019, 0(3): 64-69.