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The development and validation of a performance infill tracking system to investigate rotational traction mechanisms on artificial turf surfaces

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posted on 2025-06-19, 13:38 authored by Harry McGowan, Paul FlemingPaul Fleming, David James, James MorrisJames Morris, Steph ForresterSteph Forrester
The scientific principles governing the generation of rotational traction forces on artificial turf remain poorly understood; as such, a photogrammetry technique has been developed to understand the interactions occurring at the boot-surface interface. Videos were recorded through a transparent test foot during rotational traction testing on an artificial turf surface “seeded” with distinguishable performance infill particles. A novel particle tracking software then measured the movement of seeded particles. To determine the uncertainty in the methodology, a gold-standard measurement system determined the distances between 28 fiducial markers. The same marker-to-marker distances were measured using the particle tracking software. For ten static and ten rotating trials, the random bias in the particle tracking software distances was ± 0.89 mm to ± 1.07 mm, respectively. A pilot study on a third-generation artificial turf surface assessed the software’s ability to track infill particles during rotational traction testing. Trials were conducted at two normal loads; particle positions and angular displacements were successfully measured over 40° of rotation and synchronised with torque, angle, and vertical displacement data. A greater number of infill particles were lost during tracking at lower normal loads. This novel methodology represents a useful development in understanding the generation of traction forces, helping to inform future generations of artificial turf and studded footwear.

Funding

Engineering and Physical Sciences Research Council (EPSRC)

Labosport

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Scientific Reports

Volume

15

Issue

1

Publisher

Springer / Nature Portfolio

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Acceptance date

2025-03-03

Publication date

2025-03-16

Copyright date

2025

ISSN

2045-2322

eISSN

2045-2322

Language

  • en

Depositor

Prof Steph Forrester. Deposit date: 20 May 2025

Article number

9039

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