Information about a laboratory railway system: a dataset that integrates dynamic parameters and images of wheel wear

Published: 21 July 2025| Version 1 | DOI: 10.17632/pz9s2ph94d.1
Contributor:
Tania Elizabeth Sandoval Valencia

Description

The dataset provides a comprehensive record of the behavior of a 1:20 scale railway system, including: Monitoring of crucial dynamic parameters: Data on acceleration (on three axes), angular velocity (on three axes), linear train speed, and current were collected using a variety of integrated sensors. Recording of input parameters: Key experimental conditions were documented, including three train speed levels (0.75 m/s, 1.15 m/s, 1.4 m/s) and two braking areas (straight to curve and curve to straight), replicated in 19 runs for each combination. Wear evolution results: High-resolution images of the wheel profile (with and without pulley) were obtained using a digital optical microscope, capturing surface wear at different stages. These data allow direct linking of dynamic parameters to wheel wear evolution under various operating conditions.

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Steps to reproduce

System configuration: A 1:20 scale railway system equipped with sensors to measure dynamic parameters (speed, acceleration, angular velocity, current) is used. Experimental design: Six main test combinations are defined, based on two factors with multiple levels: Train speed: Low (0.75 m/s), medium (1.15 m/s), high (1.4 m/s). Braking area: Start in a straight line and end in a curve, or start in a curve and end in a straight line. Test performance: Each of the six experimental combinations is repeated 19 times to ensure the robustness of the data set. Dynamic data acquisition: During each run, integrated sensors continuously record dynamic parameters. The data is downloaded, processed (filtered with a low-pass filter), and organized into .XLSX files. Wear image acquisition: Before the first run of each experiment and after the last repetition of each series, high-resolution images of the wheel profile (with and without pulley) are captured using a digital optical microscope to document the evolution of wear.

Institutions

  • Universidad Autonoma de Queretaro

Categories

Wear (Damage), Wheel, Railway, Vehicle Dynamics

Licence