| Issue |
MATEC Web Conf.
Volume 419, 2026
International Conference on Mechanical and Materials Engineering (ICMME 2025)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/matecconf/202641901010 | |
| Published online | 18 March 2026 | |
A simplified method of dynamic balancing for automobile wheel-tire assembly
Mechanical Engineering Department, Institute of Technology, Nirma University, Ahmedabad- 382482, Gujarat, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The method of balancing the wheel tire assembly, so that it rotates smoothly at high speed is known as wheel balancing. The most common type of equipment is called a dynamic balancer, commonly referred to as a "spin balance" It detects dynamic balance by mounting a tire on a test wheel, rotating the assembly up to 300 rpm or more, and then evaluating the forces of unbalance as the tire rotates. Dynamic balancers identify the exact amount of counterweight which needs to be applied to correct an unbalance as well as to determine its position. The technique of unbalance identification for the vehicle wheel tire assembly is addressed in this study. A specific technique is discussed for calibration of wheel balancer machine and a means of identification is proposed in order to identify the location and magnitude of the unbalance. The robustness of the technique is also validated with a specific case of wheel tire assembly balancing. The vehicle wheel balancer machine producer can easily implement the method discussed in the present investigation to build up the balancer machine.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

