| Issue |
E3S Web Conf.
Volume 500, 2024
The 1st International Conference on Environment, Green Technology, and Digital Society (INTERCONNECTS 2023)
|
|
|---|---|---|
| Article Number | 03026 | |
| Number of page(s) | 8 | |
| Section | Engineering and Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202450003026 | |
| Published online | 11 March 2024 | |
Subsonic Wind Tunnels Air Speed Control Devices Base on Arduino Controller
1 Universitas Negeri Padang, Padang, Indonesia
2 Institut Teknologi PLN, Jakarta, Indonesia
3 Universitas Teuku Umar, Aceh, Indonesia
* Corresponding author: m.yasepsetiawan@ft.unp.ac.id
This study discusses the process of making an airspeed control device for wind tunnels using Arduino as the main component of the controller unit. Wind tunnel testing is carried out at varying airspeeds to obtain optimal results. The fan motor is not equipped with an air speed controller as an airflow generator. This research aims to make a tool that can control wind tunnel airspeed according to the testing needs. This research was conducted using the research and development method. The power supply voltage output is set at 11.19 Volts as the Arduino voltage source, and for other components such as LCDs, servo motors, relay modules, and anemometer sensors supplied from the Arduino mainboard plus and arranged in parallel with the power supply source reduced using a stepdown to 5.069 Volts. This subsonic wind tunnel's airflow speed control device can regulate the speed from 10 m/s to 13 m/s stably. This speed meets the requirements of a subsonic wind tunnel and can be used to visualize the airflow in the wind tunnel.
© The Authors, published by EDP Sciences, 2024
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.