| Issue |
MATEC Web of Conferences
Volume 42, 2016
2015 The 3rd International Conference on Control, Mechatronics and Automation (ICCMA 2015)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 5 | |
| Section | Machinery manufacturing and industrial applications | |
| DOI | https://doi.org/10.1051/matecconf/20164204005 | |
| Published online | 17 February 2016 | |
Modeling and Simulation of a Simple Cart with Low-Impact Casters
1 Faculty of Engineering, Kinki University, 1 Takaya Umenobe, Higashi-Hiroshima City, Hiroshima, 739-2116, Japan
2 Faculty of Science and Engineering, Kinki University, 3-4-1, Kowakae, Higashi-osaka, Osaka, 577-8502, Japan
3 Department of Mechanical Engineering, National Institute of Technology, Maizuru College, 234 Shiroya, Maizuru, Kyoto, 625-8511, Japan
a Corresponding author: tagami@hiro.kindai.ac.jp
Low-impact casters are of great importance in realizing low-crash and anti-vibration carts for a range of purposes. Here the principle of center of percussion is efficiently applied to a caster in order to suppress the transfer of crash forces to the cart from the caster. Excellent performance of this force suppression has been confirmed previously by both simulation and experiments in a single-caster cart. However, carts in real-life applications usually require four sets of casters. In this context, a mathematical model of a cart with four sets of low-impact casters was formulated. In this paper, the modeling a four-caster cart, and simulations for the cart passing over a bump are discussed.
© Owned by the authors, published by EDP Sciences, 2016
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.