Probabilistic High-Cycle Fretting Fatigue Assessment of Gas Turbine Engine ComponentsSource: Journal of Engineering for Gas Turbines and Power:;2012:;volume( 134 ):;issue: 006::page 62502Author:Patrick J. Golden
,
Samir Naboulsi
,
Ramesh Chandra
,
Kwai S. Chan
,
Michael P. Enright
,
Alan C. Pentz
DOI: 10.1115/1.4005975Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: High-cycle fatigue (HCF) is arguably one of the costliest sources of in-service damage in military aircraft engines. HCF of turbine blades and disks can pose a significant engine risk because fatigue failure can result from resonant vibratory stresses sustained over a relatively short time. A common approach to mitigate HCF risk is to avoid dangerous resonant vibration modes (first bending and torsion modes, etc.) and instabilities (flutter and rotating stall) in the operating range. However, it might be impossible to avoid all the resonance for all flight conditions. In this paper, a methodology is presented to assess the influences of HCF loading on the fracture risk of gas turbine engine components subjected to fretting fatigue. The methodology is based on an integration of a global finite element analysis of the disk-blade assembly, numerical solution of the singular integral equations using the CAPRI (Contact Analysis for Profiles of Random Indenters) and Worst Case Fret methods, and risk assessment using the DARWIN (Design Assessment of Reliability with Inspection) probabilistic fracture mechanics code. The methodology is illustrated for an actual military engine disk under real life loading conditions.
keyword(s): Fatigue , Stress , Disks , Blades , Cycles , Flutter (Aerodynamics) , Engines AND Gas turbines ,
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contributor author | Patrick J. Golden | |
contributor author | Samir Naboulsi | |
contributor author | Ramesh Chandra | |
contributor author | Kwai S. Chan | |
contributor author | Michael P. Enright | |
contributor author | Alan C. Pentz | |
date accessioned | 2017-05-09T00:50:14Z | |
date available | 2017-05-09T00:50:14Z | |
date copyright | June, 2012 | |
date issued | 2012 | |
identifier issn | 1528-8919 | |
identifier other | JETPEZ-27196#062502_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/148819 | |
description abstract | High-cycle fatigue (HCF) is arguably one of the costliest sources of in-service damage in military aircraft engines. HCF of turbine blades and disks can pose a significant engine risk because fatigue failure can result from resonant vibratory stresses sustained over a relatively short time. A common approach to mitigate HCF risk is to avoid dangerous resonant vibration modes (first bending and torsion modes, etc.) and instabilities (flutter and rotating stall) in the operating range. However, it might be impossible to avoid all the resonance for all flight conditions. In this paper, a methodology is presented to assess the influences of HCF loading on the fracture risk of gas turbine engine components subjected to fretting fatigue. The methodology is based on an integration of a global finite element analysis of the disk-blade assembly, numerical solution of the singular integral equations using the CAPRI (Contact Analysis for Profiles of Random Indenters) and Worst Case Fret methods, and risk assessment using the DARWIN (Design Assessment of Reliability with Inspection) probabilistic fracture mechanics code. The methodology is illustrated for an actual military engine disk under real life loading conditions. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Probabilistic High-Cycle Fretting Fatigue Assessment of Gas Turbine Engine Components | |
type | Journal Paper | |
journal volume | 134 | |
journal issue | 6 | |
journal title | Journal of Engineering for Gas Turbines and Power | |
identifier doi | 10.1115/1.4005975 | |
journal fristpage | 62502 | |
identifier eissn | 0742-4795 | |
keywords | Fatigue | |
keywords | Stress | |
keywords | Disks | |
keywords | Blades | |
keywords | Cycles | |
keywords | Flutter (Aerodynamics) | |
keywords | Engines AND Gas turbines | |
tree | Journal of Engineering for Gas Turbines and Power:;2012:;volume( 134 ):;issue: 006 | |
contenttype | Fulltext |