几何参数对涡轮榫连接微动疲劳寿命的影响：仿真

蒋康河; 鄢林; 陈竞炜; 徐鲁兵; 毛建兴; 胡殿印; 王荣桥

doi:10.13224/j.cnki.jasp.20230091

几何参数对涡轮榫连接微动疲劳寿命的影响：仿真

doi: 10.13224/j.cnki.jasp.20230091

蒋康河^1,,
鄢林²,
陈竞炜¹,
徐鲁兵¹,
毛建兴^{3, 4, 5,*, ,},
胡殿印^{3, 4, 5},
王荣桥^{2, 4, 5}

1.
中国航发湖南动力机械研究所，湖南株洲 412000
2.
北京航空航天大学能源与动力工程学院，北京 100191
3.
北京航空航天大学航空发动机研究院，北京 100191
4.
中小型航空发动机联合研究中心，北京 100191
5.
北京航空航天大学航空发动机结构强度北京市重点实验室，北京 100191

基金项目: 国家自然科学基金（51875020，51905020，52022007）；国家科技重大专项（J2019-Ⅳ-0009-0077)

详细信息

作者简介:
蒋康河（1989-），男，高级工程师，博士，主要从事中小型涡轴发动机涡轮结构设计方面的研究

通讯作者:
毛建兴（1989-），男，副研究员、博士生导师，博士，主要从事结构强度可靠性方面的研究。E-mail：maojx@buaa.edu.cn

中图分类号: V231.95
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出版历程
- 收稿日期: 2023-02-20
- 网络出版日期: 2023-05-10

Effect of geometric parameters on fretting fatigue life of turbine attachment: numerical simulation

JIANG Kanghe^1
,,
YAN Lin²,
CHEN Jingwei¹,
XU Lubing¹,
MAO Jianxing^{3, 4, 5,*
, ,},
HU Dianyin^{3, 4, 5},
WANG Rongqiao^{2, 4, 5}

1.
Hunan Aviation Powerplant Research Institute， Aero Engine Corporation of China，Zhuzhou Hunan 412000，China
2.
School of Energy and Power Engineering，Beihang University，Beijing 100191，China
3.
Research Institute of Aero-Engine，Beihang University，Beijing 100191，China
4.
United Research Center of Mid-Small Aero-Engine，Beijing 100191，China
5.
Beijing Key Laboratory of Aero-Engine Structure and Strength，Beihang University，Beijing 100191，China

摘要

摘要:
基于涡轮榫连接结构高低周疲劳试验结果，确定微动疲劳损伤控制参量并建立寿命预测模型。建立涡轮榫连接结构的参数化模型，开展有限元计算，结合试验数据分析了等效应力、接触压力、摩擦力、滑移量等多种损伤参量与微动疲劳寿命的相关性，发现综合考虑疲劳和磨损的FFD（fretting fatigue damage）参量与寿命的相关性最高，相关系数达97%。基于幂函数形式拟合了FFD参量与微动疲劳寿命的关系式，榫连接结构的微动疲劳寿命预测误差在1.5倍分散带内。开展了FFD参数对几何参数的敏感性分析，从数值仿真角度获取不同几何参数对微动疲劳寿命的影响规律：微动疲劳寿命对压力角最敏感，且呈现负相关性。
- 榫连接结构 /
- 微动疲劳 /
- 高低周载荷 /
- 几何参数 /
- 微动损伤参量
Abstract:
Based on the high and low cycle fatigue test results of turbine attachment, the fretting fatigue damage control parameters were determined and the life prediction model was established. Parametric model of turbine attachment was established. The correlation between various damage parameters such as equivalent stress, contact pressure, friction stress, related slip distance and the fretting fatigue life was further analyzed by finite element analysis, finding that the FFD (fretting fatigue damage) parameters with integrated consideration of fatigue and wear had the highest correlation with the life, and the correlation coefficient could reach 97%. Based on the power function, the relationship between the FFD parameters and the fretting fatigue life was fitted, and the predicted fretting fatigue life of the turbine attachment was within 1.5 times scatter band. The sensitivity analysis of FFD parameters to geometric parameters was carried out, and the effects of different geometric parameters on fretting fatigue life were obtained from the perspective of numerical simulation: the fretting fatigue life was most sensitive to the pressure angle, which showed a negative correlation.
- attachment /
- fretting fatigue /
- high and low cycle loads /
- geometric parameter /
- fretting fatigue damage parameter

HTML

图 1 枞树型榫连接结构几何参数示意图

Figure 1. Geometric parameters of fir-type attachment

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图 2 榫连接结构有限元模型

Figure 2. Finite element model of attachment

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图 3 试验载荷下榫连接结构von Mises等效应力分布

Figure 3. Von Mises stress distribution of attachment under test load

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图 4 损伤参量与微动疲劳寿命的相关性

Figure 4. Correlation between damage parameters and fretting fatigue life

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图 5 榫连接结构FFD参量计算结果

Figure 5. Calculation of FFD parameters for attachment

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图 6 榫连接结构微动疲劳寿命预测结果

Figure 6. Prediction results of fretting fatigue life of attachment

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图 7 FFD参量随关键几何尺寸的变化规律

Figure 7. Variance of FFD on key dimensional parameters

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图 8 FFD参量对关键几何尺寸的敏感性分析

Figure 8. Sensitivity analysis of FFD on key dimensional parameters

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图 9 微动疲劳寿命随关键几何尺寸的变化规律

Figure 9. Variance of fretting fatigue life on key dimensional parameters

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图 10 微动疲劳寿命对关键几何尺寸的敏感性分析

Figure 10. Sensitivity analysis of fretting fatigue life on key dimensional parameters

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表 1 榫连接结构关键尺寸参数取值范围

Table 1. Value range of key dimensional parameters for attachment

尺寸参数取值范围

压力角β/（°） 22.5～32.5
齿形角γ/（°） 55～65
齿距t/mm 4.797～5.297

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