Welcome to the repository for my part of the diploma thesis on the Cyclo Test-Bench (CTB) project.
The Cyclo Test-Bench CTB project involves the realization of a new type of drone propulsion system based on the Voith-Schneider principle. This thesis focuses on controlling a test bench designed for measuring critical aviation data, such as thrust measurement.
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Winner of the 'INNOVATION@SCHOOL' competition.
- Developed by Lucas Lenarcic, Matteo Müller, and Tim Sperle.
- Secured 1st place out of 71 submissions.
- Partnered with Infineon Technologies.
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Top 5 finalist in the 'Mobility' category at the Bosch Innovationspreis 2024.
The thesis explores a novel drone propulsion system based on the Voith-Schneider propeller, with applications in aviation, vehicle, and marine propulsion. It aims to assess its performance against traditional drone propulsion systems through a test bench measuring parameters like rotational speed, blade angle, direction, and thrust force. The project integrates Infineon Technologies' Hall-effect sensors for precise data collection.
The project involves:
- Building a server for hosting services and managing data efficiently.
- Configuring a specialized database solution.
- Selecting and setting up a web hosting service.
- Developing a frontend interface for data visualization.
The backend structure is designed to handle specific project requirements and future expansions. The interface connects the frontend, database, and measurement station using a REST API implemented with Node.js and Express.js. It includes endpoints for data read/write operations and test bench control.
This README provides an overview of the Cyclo Test-Bench CTB project, highlighting its innovative approach to drone propulsion and the technical infrastructure supporting data collection and analysis.
