[1]张春宜,刘宝升,王爱华,等. 复杂场涡轮叶盘振动特性可靠性分析[J].哈尔滨理工大学学报,2018,(05):1-7.[doi:10.15938/j.jhust.2018.05.001]
 ZHANG Chun yi,LIU Bao sheng,WANG Ai hua,et al. Reliability Analysis of Vibration Characteristic for Turbine Blisk in Complex Field[J].哈尔滨理工大学学报,2018,(05):1-7.[doi:10.15938/j.jhust.2018.05.001]
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 复杂场涡轮叶盘振动特性可靠性分析()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2018年05期
页码:
1-7
栏目:
机械动力工程
出版日期:
2018-10-25

文章信息/Info

Title:
 Reliability Analysis of Vibration Characteristic for Turbine Blisk in Complex Field
作者:
 张春宜1刘宝升1王爱华1李志飞1孙田1孙旭东2
 1.哈尔滨理工大学 机械动力工程学院,黑龙江 哈尔滨 150080;
2.中国人民解放军海军广州91630部队,广东 广州 510000
Author(s):
 ZHANG Chunyi1LIU Baosheng1WANG Aihua1LI Zhifei1SUN Tian1SUN Xudong2
 (1.Schol of Mechanical and Power Engineering,Harbin University of Science and Technology,Harbin 150080,China;2.People′s Liberation Army Navy Unit 91630 in Guangzhou,Guangzhou 510000,China)
关键词:
 关键词:耦合振动振动特性可靠性叶盘双重极值响应面法
Keywords:
 Keywords:coupled vibrations vibration characteristic reliability blisk dual extreme response surface method
分类号:
TB114.3
DOI:
10.15938/j.jhust.2018.05.001
文献标志码:
A
摘要:
 摘要:为了研究复杂场多因素对航空发动机涡轮叶盘振动特性及可靠性的影响,考虑温度载荷、离心载荷和气动载荷的共同作用,基于振动理论和有限元技术建立了模态分析数学模型,进行了流-热-固耦合振动特性分析和共振分析,最后采用双重极值响应面法对振动变形及应力进行了可靠性分析。结果表明:考虑多因素耦合作用与不虑考多因素耦合作用,叶盘的固有频率最大相差32.9%,可靠性概率最大相差3.46%。
Abstract:
 Abstract:In order to study the effect of complex field on the vibration characteristics and reliability of aeroengine turbine blisk, the mathematical model of modal analysis was established based on vibration theory and finite element method which considering the combined action of temperature load, centrifugal force and aerodynamic load, and flowheatsolid coupling vibration analysis and resonance analysis were carried out, finally using the dual extreme response surface method to analyze the reliability of vibration deformation and stress. The results show that: comparing the considering coupling load and without considering coupling load, the maximum difference of the natural frequencies of the blisk is 32.9% and the maximum reliability is 3.46%.

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备注/Memo

备注/Memo:
 基金项目:国家自然科学基金(51275138);黑龙江省教育厅科学技术研究项目(12531109)
更新日期/Last Update: 2018-11-14