清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

A Modeling Approach to Predict Fretting Fatigue on Highly Loaded Blade Roots

微动 安定 有限元法 结构工程 流离失所(心理学) 打滑(空气动力学) 材料科学 机械工程 工程类 心理学 航空航天工程 心理治疗师
作者
Patrick Wackers,Victor Arrieta,Marcel Alquezar-Getan,Andréï Constantinescu,Habibou Maïtournam
出处
期刊:Journal of engineering for gas turbines and power [ASME International]
卷期号:132 (8) 被引量:11
标识
DOI:10.1115/1.3205026
摘要

A lifing technique for predicting fretting fatigue on highly loaded blade-disk attachments has been developed and calibrated. The approach combines extensive testing on nickel and titanium based alloys using a specially devised multiaxial fretting test machine and an analytical lifing procedure, based on finite element contact calculations and multiaxial shakedown fatigue models. In order to reproduce realistic operational conditions and standardize testing conditions, a special fretting fatigue testing machine with high temperature testing capabilities was developed. The machine was employed to perform systematic testing under prescribed load and displacement conditions at representative temperatures. Making use of FEA, the rig test results were calculated to identify relevant parameters such as friction coefficient, slip conditions, and machine compliance. The computation procedure involves the calculation of several major loading cycles until a stabilized response of the structure is achieved. The material response is assumed to be elastoplastic, and a nonlinear friction law (space and time) was applied. From the computed mechanical variables, several life prediction models are benchmarked to establish their capabilities to predict fretting fatigue life. Finally, a most promising life estimation procedure was applied to predict life in a real compressor blade-disk attachment. Predicted failure location and number of cycles to failure are compared against engine test results. The experimental-analytical approach has the potential to predict fretting fatigue risk during the design phase on highly loaded joints, as well as estimating the preventive overhaul intervals for parts already in service.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI2S应助天真千易采纳,获得10
33秒前
Akim应助天真千易采纳,获得10
34秒前
小二郎应助天真千易采纳,获得10
34秒前
香蕉觅云应助天真千易采纳,获得10
34秒前
38秒前
39秒前
白华苍松发布了新的文献求助10
43秒前
47秒前
小二郎应助科研通管家采纳,获得10
48秒前
1分钟前
1分钟前
Emilia完成签到,获得积分10
1分钟前
1分钟前
顷梦发布了新的文献求助10
1分钟前
2分钟前
所所应助顷梦采纳,获得10
2分钟前
ZL完成签到,获得积分10
2分钟前
核桃完成签到 ,获得积分10
2分钟前
2分钟前
ethanyangzzz发布了新的文献求助30
2分钟前
等等发布了新的文献求助10
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
2分钟前
白华苍松发布了新的文献求助10
2分钟前
Tree_QD发布了新的文献求助10
3分钟前
3分钟前
阿俊1212完成签到 ,获得积分10
3分钟前
寒山完成签到 ,获得积分10
3分钟前
Hello应助林林采纳,获得10
3分钟前
陌上之心完成签到 ,获得积分10
3分钟前
3分钟前
故然完成签到 ,获得积分10
4分钟前
SciGPT应助阿冰采纳,获得10
4分钟前
BBOOOOOO完成签到,获得积分10
4分钟前
万能图书馆应助AAA电材哥采纳,获得10
4分钟前
4分钟前
AAA电材哥发布了新的文献求助10
4分钟前
Carl完成签到 ,获得积分10
4分钟前
科研通AI6.2应助加油采纳,获得10
4分钟前
5分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6028132
求助须知:如何正确求助?哪些是违规求助? 7685796
关于积分的说明 16186162
捐赠科研通 5175363
什么是DOI,文献DOI怎么找? 2769429
邀请新用户注册赠送积分活动 1752887
关于科研通互助平台的介绍 1638705