| Issue |
MATEC Web Conf.
Volume 112, 2017
21st Innovative Manufacturing Engineering & Energy International Conference – IManE&E 2017
|
|
|---|---|---|
| Article Number | 06017 | |
| Number of page(s) | 6 | |
| Section | CAD/CAM/CAE/CAX Technologies, Manufacturing Optimization | |
| DOI | https://doi.org/10.1051/matecconf/201711206017 | |
| Published online | 03 July 2017 | |
Analysis of cylindrical roller bearings design in order to optimize the classical process using FEM
Technical University “Gheorghe Asachi” of Iasi, Department of Machine Manufacturing and Industrial Management, B-dul Mangeron, 59A, Iași, 700050, România
* Corresponding author: puscasu_alin@yahoo.com
This paper presents the structural and functional improvement of cylindrical roller bearings using finite element method. This method has a widely application and enjoys by an extended use in structural areas thermal analysis, mechanical and vibration. The advantages of the finite element method (FEM-Finite Element Method) are numerous and important. In case of conception a design it can be studied and modelled the structure behaviour in various media load in real time, therefore, based on the obtained results, the model can be modify before creating the final drawings for execution. Once is developed the CAD model, using FEM method it can be analyse the design structure in detail. Therefore using FEM can save time and money by reducing the required number of prototypes.
© The Authors, published by EDP Sciences, 2017
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.