Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Engineering
Probabilistic Risk Assessment For Life Extension Of Turbine Engine Rotors, Jace A. Carter, Tarun Goswami
Probabilistic Risk Assessment For Life Extension Of Turbine Engine Rotors, Jace A. Carter, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
Maintaining the component service life beyond its historical limits requires the ability to accurately quantify component reliability and address the uncertainties in material responses. A probabilistic method for predicting the total fatigue life was developed and applied to determine the probability of failure of a Ti-6Al-4V turbine disk component. The total fatigue life incorporates a dual mechanism approach including the crack initiation life and propagation life while simultaneously determining the associated initial flaw sizes. A microstructure-based model was employed to address the uncertainties in material response and relate the crack initiation life with crack size. The propagation life was characterized …
Application Of Probabilistic Methods To Turbine Engine Disk Life Prediction And Risk Assessment, Paul Copp, Ashley Whitney-Rawls, Jace Carter, Tarun Goswami
Application Of Probabilistic Methods To Turbine Engine Disk Life Prediction And Risk Assessment, Paul Copp, Ashley Whitney-Rawls, Jace Carter, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
Turbine engine disk life prediction and understanding the associated risk remains a significant challenge for today’s designer. Despite advances made in materials testing and characterization, as well as, the application of damage tolerance and linear elastic fracture mechanics modeling, there remains a void in properly assessing loading, geometry, and material design property variability. Add to this the application of advanced hybrid and composite material systems and the need to accurately deal with material variability is even greater. There still remain incidents of failure of critical components which were not properly accounted for by the existing analytical methods, testing, and inspections …