| Issue |
E3S Web Conf.
Volume 383, 2023
International Scientific Conference Transport Technologies in the 21st Century (TT21C-2023) “Actual Problems of Decarbonization of Transport and Power Engineering: Ways of Their Innovative Solution”
|
|
|---|---|---|
| Article Number | 05010 | |
| Number of page(s) | 6 | |
| Section | Reducing the Carbon Footprint of the Aviation | |
| DOI | https://doi.org/10.1051/e3sconf/202338305010 | |
| Published online | 24 April 2023 | |
Approach to the selection of the optimal sized of the ear – fork lug
Moscow Aviation Institute (National Research University), Volokolamskoe shosse, 4, 125993, Moscow, Russia
* Corresponding author: awds-2033@mail.ru
This paper considers an approach to the selection of a coefficient that takes into account the angle of application of the load to calculate the strength of the ear-plug type eyelets, which are responsible power elements that perceive concentrated forces and affect the efficiency of the connected units and aggregates. The peculiarity of this study is to determine the optimal limits of the ratio range of linear dimensions based on static tests. In order to simplify the visualization task and find the optimal shapes and sizes of the eyelet, various methods for solving this problem were compared. Developed on the basis of MS.Excel, the program for automated calculation of the strength of eyelets of the ear - plug type can be used in the design and calculation of eyelets. The results of calculations in MS.Excel and SimCenter 3D show good accuracy and convergence, including with the results of static tests with an average discrepancy of 2 to 5%. The analysis of the obtained results was carried out and recommendations were developed to expand the range of the coefficient, taking into account the optimal ratio of linear dimensions in accordance with the requirements of strength, technological design, as well as maintainability.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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.