| Issue |
MATEC Web Conf.
Volume 343, 2021
10th International Conference on Manufacturing Science and Education – MSE 2021
|
|
|---|---|---|
| Article Number | 04004 | |
| Number of page(s) | 6 | |
| Section | Computer-Aided Technologies (CAD/CAM/CAE - CAX), Virtual Engineering and Reverse Engineering | |
| DOI | https://doi.org/10.1051/matecconf/202134304004 | |
| Published online | 04 August 2021 | |
Sizing and shape optimization material use in 10 bar trusses
1
University of Kragujevac, Faculty of Engineering, 34000 Kragujevac, Sestre Janjic 6, Serbia
2
University “Lucian Blaga” of Sibiu, Faculty of Engineering, Department of Computer Science and Electrical Engineering, 550025 Sibiu, Str. Emil Cioran, No. 4, Romania
* Corresponding author: nkostic@kg.ac.rs
Truss optimization has the goal of achieving savings in costs and material while maintaining structural characteristics. In this research a 10 bar truss was structurally optimized in Rhino 6 using genetic algorithm optimization method. Results from previous research where sizing optimization was limited to using only three different cross-sections were compared to a sizing and shape optimization model which uses only those three cross-sections. Significant savings in mass have been found when using this approach. An analysis was conducted of the necessary bill of materials for these solutions. This research indicates practical effects which optimization can achieve in truss design.
© The Authors, published by EDP Sciences, 2021
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.