A New Numerical Method for Fast Prediction of Wheel Tread Wear for Stacker Cranes

Minggong Yu, Enming Zhang, Johannes Fottner

2025

Abstract

With the development of the logistics industry, the demand for efficient, high-capacity material handling equipment, such as stacker cranes, has grown significantly. As a critical load-bearing component of stacker cranes, the wheel-rail contact system is subtracted to higher operational speeds and load capacities, which lead to increased contact stresses and wheel tread wear. The degraded wheel profile caused by wear can deteriorate wheel-rail interactions, exacerbate vibrations, and subsequently reduce the lifespan of stacker cranes. This paper proposes a numerical model based on co-simulation to predict wheel tread wear of stacker cranes. The model combines a multibody dynamics model of the stacker crane, a wheel-rail contact model, and a worn profile update model. Additionally, a wear superposition method, i.e., a simplified and practical method, is developed to calculate the accumulated wear, enabling the prediction of the wheel wear under different work cycles with limited simulation iterations. The results show the accumulated wheel tread wear depth across various work cycles of stacker cranes, providing quantitative predictions while significantly reducing simulation time.

Paper Citation

in Harvard Style

Yu M., Zhang E. and Fottner J. (2025). A New Numerical Method for Fast Prediction of Wheel Tread Wear for Stacker Cranes. In Proceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH; ISBN 978-989-758-759-7, SciTePress, pages 193-200. DOI: 10.5220/0013458800003970

in Bibtex Style

@conference{simultech25,
author={Minggong Yu and Enming Zhang and Johannes Fottner},
title={A New Numerical Method for Fast Prediction of Wheel Tread Wear for Stacker Cranes},
booktitle={Proceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH},
year={2025},
pages={193-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013458800003970},
isbn={978-989-758-759-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH
TI - A New Numerical Method for Fast Prediction of Wheel Tread Wear for Stacker Cranes
SN - 978-989-758-759-7
AU - Yu M.
AU - Zhang E.
AU - Fottner J.
PY - 2025
SP - 193
EP - 200
DO - 10.5220/0013458800003970
PB - SciTePress