Model-based efficiency mapping and parametric analysis of low-pressure axial fans-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Model-based efficiency mapping and parametric analysis of low-pressure axial fans

Published:2022-12 Issue: Volume:144 Page:136-144
ISSN:0140-7007
Container-title:International Journal of Refrigeration
language:en
Short-container-title:International Journal of Refrigeration

Author:

Podgaietsky Gabriel L.,de Oliveira Marcelo L.C.,Hermes Christian J.L.

Funder

Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina

EMBRAPII

Ulsan National Institute of Science and Technology

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction

Reference21 articles.

1. Optimization of low-pressure axial fans and effect of subsequent geometrical modifications;Bamberger,2015

2. Computation and measurement of the flow in axial flow fans with skewed blades;Beiler;J. Turbomachinery,1999

3. Fan Handbook: Selection, Application, and Design;Bleier,1997

4. Air-side heat transfer and pressure drop characteristics of microchannel evaporators for household refrigerators;Boeng;Int. J. Heat Mass Transf.,2020

5. Thermal-hydraulic characterization and system-level optimization of microchannel condensers for household refrigeration applications;Boeng;Thermal Sci. Eng. Progr.,2020

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A model-based design approach for low-pressure axial fan blades considering the air flow system characteristics#;International Journal of Refrigeration;2024-09

2. Optimization of an axial-flow mine ventilation fan based on effects of design parameters;Results in Engineering;2024-03

3. CFD analysis and optimization of axial flow fans;International Journal for Simulation and Multidisciplinary Design Optimization;2024

4. Design of High Speed Rotors for Axial Mine Fans;Journal of Mining Science;2023-10

5. Combining Deep Neural Network with Genetic Algorithm for Axial Flow Fan Design and Development;Processes;2023-01-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3