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The development of laboratory downscale rail-wheel test rig model with optical sensors.

Authors :
Sharan, Preeta
Mishra, Suchandana
Upadhyaya, Anup M.
Source :
Optical Fiber Technology. May2023, Vol. 77, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• 1:3 scale laboratory train model. • Rail track stability, rail-wheel contact stress in laboratory rail test rig. • Vertical force of wheel to axial strain on the rail measurement using optical sensors. • Train axle peak detection, rolling contact fatigue analysis using FBG in laboratory train test rig. • Fiber Bragg grating sensing technology in rail transport. Railway and train condition monitoring are two critical components in assuring passenger safety and comfort during their journey. In this work, a new laboratory downscale rail test rig has been designed and developed for exploring rail-wheel interaction and axle peak detection using fiber Bragg grating (FBG) optical sensors. This paper describes the laboratory setup's development process which includes numerical analysis of rail model, review of different experimental techniques, followed by 1:3 scaled model, mechanical and functional analysis of the railway setup with the grating sensor. By employing various data processing techniques axle peak detection of train was done and strain/stress transfer was calculated by the train passage to the rail track which was ∼100.86 µɛ. Total wavelength shit in the FBG sensor was 0.133 nm due to wheel load and sensitivity value was calculated approximately 1.36 pm/µɛ for the wavelength/strain changes. Characteristics of 1:3 laboratory rail test rig such as track retention, number of wheels, axle peak detection, rail-wheel rolling contact, stress/strain track deformation can be obtained in real time with fiber Bragg grating sensors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10685200
Volume :
77
Database :
Academic Search Index
Journal :
Optical Fiber Technology
Publication Type :
Academic Journal
Accession number :
162392341
Full Text :
https://doi.org/10.1016/j.yofte.2023.103287