In Situ Prediction of Metal Fatigue Life Using Frequency Change

A reliable technique for rapid prediction of the remaining useful life (RUL) of components experiencing fatigue degradation is introduced. The approach is based on measuring the temperature signature of a component upon rapidly changing its operating frequency for a short period of time. The tempera...

Full description

Saved in:
Bibliographic Details
Published in:Metals (Basel ) 2023-10, Vol.13 (10), p.1681
Main Authors: Mahmoudi, Ali, Amooie, Mohammad A., Koottaparambil, Lijesh, Khonsari, Michael M.
Format: Article
Language:English
Subjects:
Accuracy
Entropy
Fatigue
Fatigue life
Fatigue tests
Fourier transforms
fracture fatigue entropy (FFE)
frequency variation
Growth models
Heat
Life prediction
Load history
Metal fatigue
Metals
Methods
Neural networks
Physics
remaining useful life (RUL)
Stainless steels
Stress concentration
Thermodynamics
thermodynamics of fatigue
Useful life
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A reliable technique for rapid prediction of the remaining useful life (RUL) of components experiencing fatigue degradation is introduced. The approach is based on measuring the temperature signature of a component upon rapidly changing its operating frequency for a short period of time. The temperature variations caused by alterations in plastic work rate are correlated to the loading history. The efficacy of the approach is investigated by conducting a series of axial fatigue tests on stainless steel 316 specimens. The material characterization involves subjecting the material to a constant amplitude fatigue load at 4 Hz and 12 Hz frequencies. The operating frequency is temporarily adjusted to the characterization frequencies for a brief duration. During this period, the change in the slope of temperature rise is recorded. Subsequently, the operation frequency is reverted to its original state, and the remaining useful life is predicted based on the recorded data. The model provides predictions for operation frequencies of 6 Hz, 8 Hz, and 12 Hz, and notably, the error of predictions is consistently under 12% for all cases. The method allows the operator to reliably estimate the remaining usefulness for field applications without interrupting the operation.
ISSN:2075-4701
2075-4701
DOI:10.3390/met13101681