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Efficiency optimisation of mass produced micro drone propellers.

Reference number
Coordinator Bitcraze AB
Funding from Vinnova SEK 325 000
Project duration July 2022 - February 2024
Status Ongoing
Venture Innovair/SMF

Purpose and goal

The goal of this project is to deliver a reliable, balanced supply of efficient propellers that can be integrated into Bitcraze’s product offering at a competitive part price. The purpose of this initiative is to: - Better service Bitcraze’s clients who are needing longer battery life. - Reduce costs and time associated with quality control issues currently experienced with existing propeller suppliers. - Reduce vibration on the drones, which in turn reduces noise on the on-board control systems rendering it a more accurate research tool.

Expected results and effects

Bitcraze will work in collaboration with KTH University, RMIT University and RISE to set the parameters of a machine learning algorithm that will seek to generate a propeller design that balances torque, thrust and RPM to maximise efficiency. By leveraging RISE’s manufacturing expertise in combination with RMIT’s proven and proprietary methodology, Bitcraze aims to set up a supply of high quality, competitively priced propellers. Allowing Bitcraze to better serve the international research community and position themselves strongly in a burgeoning commercial space.

Planned approach and implementation

The project will unfold in 5 stages. Stage 1 - A document will be prepared that includes the recommended parameters for the optimisation algorithm. Stage 2 - The optimization takes place and is verified by real world testing of 3D printed prototypes. Stage 3 - The propeller is modified slightly to ensure it is able to be plastic injection moulded Stage 4 - A second round of printing and testing is performed to ensure performance after stage 3 changes Stage 5 - The tool is cut and the first production samples are tested. Small modifications to the tool are made if necessary.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 13 February 2023

Reference number 2022-01270

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