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Study on the prediction method of supporting force distribution and experiment
| Content Provider | Scilit |
|---|---|
| Author | Ma, Hongfeng Liu, Gaojie |
| Copyright Year | 2020 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering The supporting force distribution is very important for the vehicle to maintain safety and stability, especially for the heavy-duty refitting vehicle with eccentric load. A simple and generic model to compute the supporting force distribution is essential in the design stage of refitting vehicle, whereas there is little research involving in solving this problem by now. This article presents an efficient and simple method to predict the supporting force of tire (supporting point). Firstly, the model for the vehicle with three or four axles is simplified. The mathematical matrix is established by force equilibrium equation, moment equilibrium equation and deformation compatibility equation. With the known parameters of load, position and dimension, the force of every supporting point can be calculated, and so the supporting force distribution is acquired. Then, a corresponding experiment is designed and implemented. According to the results of the comparison, the results indicate that the general prediction method to calculate supporting force distribution presented in this paper is accurate and validated in the pre-design stage of the refitting vehicle. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/711/1/012008/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/711/1/012008 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 711 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-01-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Mechanical Engineering Prediction Method Supporting Force Distribution Refitting Vehicle |
| Content Type | Text |
| Resource Type | Article |