Orthogonal optimization design of a Sirocco fan and numerical analysis on the internal flow characteristics

Zhengfeng Liu, Zhengdao Wang, Shouhua Du, Hui Yang, Yi-kun Wei, Wei Zhang
{"title":"Orthogonal optimization design of a Sirocco fan and numerical analysis on the internal flow characteristics","authors":"Zhengfeng Liu, Zhengdao Wang, Shouhua Du, Hui Yang, Yi-kun Wei, Wei Zhang","doi":"10.1177/09576509231195120","DOIUrl":null,"url":null,"abstract":"The forward-curved multi-blade centrifugal fan, also termed as Sirocco fan, is characterized by its complex characteristics of internal flow within the impeller and volute. Currently most of the fans are designed with modifications or optimizations for certain geometric parameters which could not ensure the well compatibility of flow in the impeller and volute, thus it is difficult to improve the aerodynamic performances of the fans. In this paper, we performed a multi-parameter design of a Sirocco fan with optimizations on the geometric parameters of the impeller and volute. The geometric parameters of the volute were designed based on analysis of the internal flow patterns, and the influence from the impeller is also considered. Optimization on the geometric parameters was carried out using the steepest descent method to improve the static pressure rise and efficiency under the designed flow rate by taking into account the relevance of flow in the impeller and volute. The effect of the parametric optimization is evaluated and analyzed by large-eddy simulation (LES). It was found that the static pressure rise and efficiency of the optimized model increase by 1.8% and 5.0% compared with the baseline model, respectively. The static pressure rise fluctuates in a regularly periodic manner. The optimized model reduces the area of low-pressure recirculating flow at the center of the fan and the separated flow on the suction surface of the blades. The near-wall flow on the volute surface is more stable, and the pressure fluctuation around the volute tongue is reduced. The outflow of the volute exhibits better uniformity than the baseline model.","PeriodicalId":20705,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/09576509231195120","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The forward-curved multi-blade centrifugal fan, also termed as Sirocco fan, is characterized by its complex characteristics of internal flow within the impeller and volute. Currently most of the fans are designed with modifications or optimizations for certain geometric parameters which could not ensure the well compatibility of flow in the impeller and volute, thus it is difficult to improve the aerodynamic performances of the fans. In this paper, we performed a multi-parameter design of a Sirocco fan with optimizations on the geometric parameters of the impeller and volute. The geometric parameters of the volute were designed based on analysis of the internal flow patterns, and the influence from the impeller is also considered. Optimization on the geometric parameters was carried out using the steepest descent method to improve the static pressure rise and efficiency under the designed flow rate by taking into account the relevance of flow in the impeller and volute. The effect of the parametric optimization is evaluated and analyzed by large-eddy simulation (LES). It was found that the static pressure rise and efficiency of the optimized model increase by 1.8% and 5.0% compared with the baseline model, respectively. The static pressure rise fluctuates in a regularly periodic manner. The optimized model reduces the area of low-pressure recirculating flow at the center of the fan and the separated flow on the suction surface of the blades. The near-wall flow on the volute surface is more stable, and the pressure fluctuation around the volute tongue is reduced. The outflow of the volute exhibits better uniformity than the baseline model.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
热风风机正交优化设计及内部流动特性数值分析
前曲多叶片离心风机,又称Sirocco风机,其特点是叶轮和蜗壳内部流动的复杂特性。目前大多数风机的设计都是针对某些几何参数进行修改或优化,无法保证叶轮和蜗壳内的流动具有良好的相容性,因而难以提高风机的气动性能。本文通过对叶轮和蜗壳几何参数的优化,对一台热风风机进行了多参数设计。在分析蜗壳内部流态的基础上,设计了蜗壳的几何参数,并考虑了叶轮的影响。考虑叶轮和蜗壳内流动的相关性,采用最陡下降法对几何参数进行优化,以提高设计流量下的静压升和效率。通过大涡模拟(LES)对参数优化的效果进行了评价和分析。结果表明,与基线模型相比,优化后模型的静压升和效率分别提高了1.8%和5.0%。静压升有规律地周期性波动。优化后的模型减小了风机中心低压再循环流动面积和叶片吸力面分离流动面积。蜗壳表面近壁流动更加稳定,蜗壳隔舌周围压力波动减小。蜗壳流出比基线模型表现出更好的均匀性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.30
自引率
5.90%
发文量
114
审稿时长
5.4 months
期刊介绍: The Journal of Power and Energy, Part A of the Proceedings of the Institution of Mechanical Engineers, is dedicated to publishing peer-reviewed papers of high scientific quality on all aspects of the technology of energy conversion systems.
期刊最新文献
Studies on fuels and engine attributes powered by bio-diesel and bio-oil derived from stone apple seed (Aegle marmelos) for bioenergy Analysis of the aerothermal performance of modern commercial high-pressure turbine rotors using different levels of fidelity Analytical modeling and performance improvement of an electric two-stage centrifugal compressor for fuel cell vehicles Investigations into rubbing wear behavior of honeycomb land against labyrinth fin with periodic-cell model Secondary air induced flow structures and their interplay with the temperature field in fixed bed combustors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1