A Survey of Aero-Engine Blade Modeling and Dynamic Characteristics Analyses

Author:

Zhang Yaqiong1,Wang Fubin2,Liu Jinchao3,Zhao Heng1,Fu Chao1ORCID,Zhai Weihao4,Lu Kuan1ORCID

Affiliation:

1. Institute of Vibration Engineering, Northwestern Polytechnical University, Xi’an 710100, China

2. School of Power and Energy, Northwestern Polytechnical University, Xi’an 710100, China

3. Aero Engine Academy of China, Beijing 101304, China

4. Shanghai Aerospace Equipments Manufacturer Co., Ltd., Shanghai 200245, China

Abstract

The rotating blade is a key component of an aero-engine, and its vibration characteristics have an important impact on the performance of the engine and are vital for condition monitoring. This paper reviews the research progress of blade dynamics, including three main aspects: modeling of blades, solution methods, and vibration characteristics. Firstly, three popular structural dynamics models for blades are reviewed, namely lumped-mass model, finite element model, and semi-analytical model. Then, the solution methods for the blade dynamics are comprehensively described. The advantages and limitations of these methods are summarized. In the third part, this review summarizes the properties of the modal and vibration responses of aero-engine blades and discusses the typical forms and mechanisms of blade vibration. Finally, the deficiencies and limitations in the current research on blade modeling and vibration analysis are summarized, and the directions for future efforts are pointed out. The purpose of this review is to provide meaningful insights to researchers and engineers in the field of aero-engine blade modeling and dynamic characteristics analysis.

Funder

Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

Reference126 articles.

1. Silva, L., Grönstedt, T., Xisto, C., Whitacker, L., Bringhenti, C., and Lejon, M. (2024). Analysis of Blade Aspect Ratio’s Influence on High-Speed Axial Compressor Performance. Aerospace, 11.

2. A Modified Variable Complexity Modeling for Efficient Multidisciplinary Aircraft Conceptual Design;Nguyen;Optim. Eng.,2015

3. Identification of Longitudinal Aerodynamic Characteristics of a Strake Wing Micro Aerial Vehicle by Using Artificial Neural Networks;Rykaczewski;Bull. Pol. Acad. Sci. Tech. Sci.,2021

4. Elastic Link Mechanism Dynamics;Winfrey;J. Eng. Ind.,1971

5. A Lumped Parameter Approach to Vibration and Stress Analysis of Elastic Linkages;Sadler;J. Eng. Ind.,1973

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