Life Prediction of a Mono Contact Aluminum/Steel at Constant and Variable Amplitudes Loading in Fretting Fatigue Configuration

2017 ◽  
pp. 85-90
Author(s):  
A. Belloula ◽  
A. Amrouche ◽  
M. Nait-Abdelaziz
Keyword(s):  
Life Prediction ◽  
Fretting Fatigue

Probabilistic fretting fatigue life prediction of Ti–6Al–4V

2010 ◽  
Vol 32 (12) ◽  
pp. 1937-1947 ◽  
Author(s):  
Patrick J. Golden ◽  
Harry R. Millwater ◽  
Xiaobin Yang
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Fretting Fatigue ◽  
Fatigue Life Prediction

Fatigue Loading and Life Prediction in Three Fretting Fatigue Fixtures

2008 ◽  
Vol 48 (3) ◽  
pp. 253-263 ◽  
Author(s):  
P. J. Golden ◽  
A. L. Hutson ◽  
B. B. Bartha ◽  
T. Nicholas
Keyword(s):  
Life Prediction ◽  
Fatigue Loading ◽  
Fretting Fatigue

Fretting Fatigue Design of Subsea Connectors: Matching Results Between Pairs of Tests

2020 ◽  
Author(s):  
L. E. Blades ◽  
D. A. Hills ◽  
A. Wormsen ◽  
K. A. Macdonald
Keyword(s):  
Life Prediction ◽  
Fatigue Crack Initiation ◽  
Fretting Fatigue ◽  
Fatigue Tests ◽  
Fatigue Design ◽  
Contact Loads ◽  
Design Documentation ◽  
Bending Loads ◽  
Set Up ◽  
Wave Induced

Abstract The upper end of a subsea wellhead system has an external wellhead hub profile. The standardised H4 profile is widely used. A wellhead connector is latched on the wellhead profile by use of locking devices with a matching internal profile (e.g. clamps, sections and dogs). Large contact loads are set up when latching the connector on this wellhead profile with the objective of withstanding internal pressure and wave-induced cyclic bending loads while avoiding hub separation. Fretting fatigue is an additional phenomenon to that of conventional high-cycle fatigue (fatigue crack initiation from the wellhead profile grooves) that should be addressed as part of the design documentation. Methods have been developed to match the key parameters in this contact to a laboratory test. Here, the strength of the effect of each of the matched loading parameters was assessed. Specimens were manufactured from wellhead housing and locking dog steels. The fretting fatigue tests were performed using loads representative of a preloaded connector. Validation of these methods would enable the use of fretting fatigue data determined for one geometry to be used in fatigue life prediction of another.

Couple Diffusion-Thermo-Mechanical Model for Life Prediction of a Turbine Engine Blade

2018 ◽  
Author(s):  
Samir (Sam) Naboulsi
Keyword(s):  
Life Prediction ◽  
Impact Damage ◽  
Turbine Blades ◽  
Fretting Fatigue ◽  
Aircraft Engines ◽  
Engine Operation ◽  
Turbine Engine ◽  
Modes Of Failure ◽  
Damage And Fracture ◽  
Reaction Diffusion Model

The failure of engines on jet aircrafts during the past few years has prompted the National Transportation Safety Board (NTSB) to issue an “urgent” recommendation to increase inspections of the engines on U.S. aircraft. Such uncontained engine failures are particularly dangerous, because flying engine parts could puncture fuel or hydraulic lines, damage flight surfaces or even penetrate the fuselage and injure passengers. At issue is older engines found on small number of jets, and the safety and economic impact damage and fracture risk can have on aircraft engines. For example, high-pressure turbine blades are commonly removed from commercial aircraft engines that had been commercially flown by airlines. These engines were brought to the maintenance shop for refurbishment or overhaul. The blades were removed and inspected for damage. The damage was cataloged into three modes of failure, which are thermal-mechanical fatigue (TMF), Oxidation/Erosion (O/E), and Other (O). These show the complexity of damage in turbine engines and the different mechanisms associated with cause of damage. Hence, life prediction of turbine engine is crucial part of the management and sustainment plan to aircraft jet engine. Fretting is often the root cause of nucleation of cracks at attachment of structural components at or in the vicinity of the contact surfaces. Previous effort presented a model to predict fretting fatigue in turbine engine, which is one of the primary phenomena that leads to damage or failure of blade-disk attachments. The influence of thermal effect and temperature fluctuation during engine operation on fretting fatigue damage were investigated. Leveraging these existing capabilities, the present effort focuses on modeling another important damage mechanism in turbine engine blades, which is erosion at high temperatures. Thus a reaction-diffusion model is implemented in addition to the thermo-mechanical one. The model provides a mean to investigate erosion initiation and propagation in turbine engine blades.

Life Prediction of Fretting Fatigue of Ti-6Al-4V

2006 ◽  
Vol 3 (7) ◽  
pp. 100346 ◽  
Author(s):  
O Jin ◽  
JR Calcaterra ◽  
S Mall ◽  
SW Dean
Keyword(s):  
Life Prediction ◽  
Fretting Fatigue

Influence of wear damage on the fretting fatigue life prediction of an Al7175 alloy

2009 ◽  
Vol 31 (8-9) ◽  
pp. 1278-1285 ◽  
Author(s):  
M. Buciumeanu ◽  
I. Crudu ◽  
L. Palaghian ◽  
A.S. Miranda ◽  
F.S. Silva
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Fretting Fatigue ◽  
Fatigue Life Prediction ◽  
Wear Damage

Influence of Residual Stresses on Fretting Fatigue Life Prediction in Ti-6Al-4V

2008 ◽  
Vol 5 (8) ◽  
pp. 101610
Author(s):  
Patrick J. Golden ◽  
Dennis Buchanan ◽  
Sam Naboulsi ◽  
Richard Neu ◽  
Kim Wallin ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Residual Stresses ◽  
Life Prediction ◽  
Fretting Fatigue ◽  
Fatigue Life Prediction
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