Views: 0 Author: Site Editor Publish Time: 2025-07-30 Origin: Site
The team from the School of Synthetic Biology and Biomanufacturing at Tianjin University recently published a paper in the journal Nature, introducing a revolutionary "self-healing drone shell" technology. The corresponding shell has self-healing, anti icing, and intelligent sensing capabilities, which is expected to fundamentally solve the problems of icing, damage, and energy consumption faced by drones flying in extreme environments.
It is reported that flying drones in high-altitude areas during winter for activities such as "cloud penetration" can easily cause the surface of the aircraft to freeze, thereby damaging the aerodynamic structure, affecting sensor function, and even causing the drone to directly "explode". Most existing drone de icing systems rely on mechanical vibration or electric heating devices, which have a significant impact on endurance and pose a risk of failure.
In response, the research team proposed a new approach, attempting to design the drone's casing as an "intelligent system" that integrates three core capabilities: active protection, self-healing, and environmental monitoring.
In terms of material, a flexible self-healing polymer composite material is introduced into the corresponding shell, which contains microcapsules inside. When microcracks or scratches appear on the outer skin, these capsules will automatically rupture and release repair agents, quickly filling the cracks and completing polymerization curing, equivalent to "automatic wound repair".
In order to prevent icing in cold environments during flight, the shell integrates a nano heating network made of graphene or carbon nanotubes inside. The heating system can accurately control the temperature based on real-time monitoring results, and only starts heating in areas where icing may occur, achieving efficient and low consumption anti icing effect.
In addition, IT Home noticed that researchers have also installed a high-sensitivity flexible sensor array inside the casing, which can sense real-time environmental temperature, humidity, air pressure, and ice crystal formation information. It can be linked with machine learning algorithms in the drone control unit to analyze data trends, predict structural pressure or icing risks, trigger repair or de icing mechanisms in advance, and truly achieve "autonomous decision-making during flight".
Researchers have stated that in a laboratory environment, the drone's casing can fully restore its structural strength within minutes of being scratched or punctured. In icing tests, even in complex environments such as strong winds, high humidity, and low temperatures, it can effectively maintain an ice free state.
Compared to traditional aircraft that rely on external deicing devices or sensors, this new type of drone shell completes perception, response, and repair at the "body level", significantly reducing the overall weight, improving stealth and energy efficiency. It is very suitable for the current military, civilian, and scientific research unmanned aerial vehicle's demand for "lightweight+intelligent" development. It is particularly important for unmanned aerial vehicles that perform missions in remote areas such as the sea, polar regions, and mountainous areas for a long time, and has certain commercial prospects.
