Forced response prediction for industrial gas turbine blades

作者
Stuart Moffatt
出处
期刊:Durham University - Durham e-Theses 被引量:4
摘要

A highly efficient aeromechanical forced response system is developed for predicting resonant forced vibration of turbomachinery blades with the capabilities of fully 3-D non-linear unsteady aerodynamics, 3-D finite element modal analysis and blade root friction modelling. The complete analysis is performed in the frequency domain using the non linear harmonic method, giving reliable predictions in a fast turnaround time. A robust CFD-FE mesh interface has been produced to cope with differences in mesh geometries, and high mode shape gradients. A new energy method is presented, offering an alternative to the modal equation, providing forced response solutions using arbitrary mode shape scales. The system is demonstrated with detailed a study of the NASA Rotor 67 aero engine fan rotor. Validation of the forced response system is carried out by comparing predicted resonant responses with test data for a 3-stage transonic Siemens industrial compressor. Two fully-coupled forced response methods were developed to simultaneously solve the flow and structural equations within the fluid solver. A novel closed-loop resonance tracking scheme was implemented to overcome the resonant frequency shift in the coupled solutions caused by an added mass effect. An investigation into flow-structure coupling effects shows that the decoupled method can accurately predict resonant vibration with a single solution at the blade natural frequency. Blade root-slot friction damping is predicted using a modal frequency-domain approach by applying linearised contact properties to a finite element model, deriving contact Droperties from an advanced semi-analytical microslip model. An assessment of Coulomb and microslip approaches shows that only the microslip model is suitable for predicting root friction damping.

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
Dailei发布了新的文献求助10
刚刚
刚刚
yujinfeng完成签到,获得积分10
刚刚
guyuming发布了新的文献求助10
刚刚
斯文败类的应助被秋澍壆采纳,获得10
1秒前
淡然冬灵发布了新的文献求助10
1秒前
林玖再完成签到,获得积分10
1秒前
3秒前
王伟发布了新的文献求助10
3秒前
StevenFong发布了新的文献求助30
3秒前
丘比特的应助被学做科研采纳,获得10
4秒前
匹诺曹发布了新的文献求助10
4秒前
4秒前
123完成签到,获得积分10
5秒前
5秒前
林玖再发布了新的文献求助10
5秒前
cdercder的应助被豆逗逗采纳,获得10
6秒前
句灼完成签到,获得积分10
7秒前
小小阳完成签到 ,获得积分10
7秒前
大宝鼠完成签到,获得积分10
7秒前
8秒前
sasogmp完成签到,获得积分10
8秒前
英俊的铭的应助被木子采纳,获得10
8秒前
00hello00发布了新的文献求助10
8秒前
懒洋洋发布了新的文献求助10
8秒前
机智的白卉的应助被DoctorSun采纳,获得10
9秒前
科研牛马完成签到,获得积分10
9秒前
10秒前
zxizx发布了新的文献求助10
10秒前
白木发布了新的文献求助10
10秒前
xfy给卢拉的求助进行了留言
11秒前
13秒前
13秒前
13秒前
14秒前
14秒前
6哈关注了科研通微信公众号
15秒前
星辰大海的应助被匹诺曹采纳,获得10
15秒前
16秒前
无情愫的应助被DoctorSun采纳,获得10
16秒前
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
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
A REVIEW OF THE V-22 DYNAMICS VALIDATION PROGRAM 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8128907
求助须知:如何正确求助?哪些是违规求助? 9531293
关于积分的说明 21589868
捐赠科研通 7709744
什么是DOI,文献DOI怎么找? 3417462
关于科研通互助平台的介绍 2543015
邀请新用户注册赠送积分活动 2458721