Demonstrates improved gearbox reliability in autonomous drones, suggesting enhanced performance in critical applications.
The operational paradigm of Unmanned Aerial Vehicles (UAVs) has shifted from recreational use to critical autonomous applications in logistics and defense. A primary bottleneck in this evolution is the reliability of mechanical transmission systems, specifically gearboxes, which suffer from fatigue and catastrophic failure under high-frequency vibrations. This research investigates the integration of 4D printing and Shape Memory Polymers (SMPs) to develop a thermally activated geometric recovery planetary gearbox. The proposed gearbox can recover bending-induced geometric deformation during scheduled ground maintenance through the Shape Memory Effect (SME). The recovery process is intended for planned ground maintenance rather than real-time in-flight repair. Through finite element analysis (FEA) in ANSYS, this study evaluates the structural response of an SMP planetary gear under a 50 N tangential load. The results demonstrate that SMP compliance reduces simulated peak stress compared with steel while maintaining the stress response within the assumed material limits for the modeled load case. Heating the material to the recovery temperature of approximately 80°C produced a 96.9% geometric recovery rate for the simulated bending deformation. The transition from steel to SMP results in an 85.4% reduction in assembly mass. This paper presents a computational feasibility study of 4D-printed SMP gearboxes for lightweight UAV transmission systems, while recognizing that experimental validation is required before practical deployment.
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Tiwari et al. (2026) studied this question.
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