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Published on: April 28, 2022
An explicit analytical model for passive twist and systematic optimization of membrane flapping wings
Zhaotong Chen1, Zongxia Jiao2, Wuyao Jiang2
1Beihang University School of Automation Science and Electrical Engineering, Xueyuan Road NO.37, Beijing, 100191, China.
This study introduces a new design framework for flapping-wing micro air vehicles (FWMAVs) that simplifies optimization. It uses an explicit twist formula to improve efficiency and lift-to-weight ratio for better FWMAV performance.
Area of Science:
- Aerospace Engineering
- Robotics
- Fluid Dynamics
Background:
- Optimizing flapping-wing micro air vehicles (FWMAVs) is challenging due to complex coupled parameters.
- Traditional methods like empirical trials or localized fluid-structure interaction (FSI) analysis are time-consuming and inefficient for rapid forward optimization.
Purpose of the Study:
- To develop a systematic design framework for FWMAVs that simplifies the design space and enables efficient analytical optimization.
- To derive an explicit analytical formula for wing design by decoupling wing configuration and torsional deformation.
Main Methods:
- Introduced a novel wing configuration to decouple vein layouts from torsional deformation.
- Utilized high-fidelity FSI simulations on minimal parameter points to derive an explicit analytical formula relating spanwise twist and veins.
- Integrated the formula into the quasi-steady blade element method (BEM) with electromechanical constraints for a coupled system optimization model.
Main Results:
- Achieved an 11% improvement in efficiency for the optimized wing.
- The optimized wing demonstrated a lift-to-weight ratio exceeding 1.3.
- Validated the design framework through bench and guide-rail flight tests.
Conclusions:
- The proposed framework transforms complex empirical design into deterministic analytical optimization.
- The explicit twist formula and decoupled configuration provide an efficient design tool for high-payload, high-efficiency FWMAVs.
- This approach significantly reduces the reliance on costly physical simulations.
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