How China is solving F-22’s stealth coating cracks with 3,000-year-old silk weaving tech
China claims to have found a solution to the radar-absorbent coating issues plaguing US stealth fighters by drawing inspiration from an ancient Chinese textile innovation: silk jacquard weaving. While US stealth fighters like the F-22 Raptor struggle with the rapid degradation of their radar-absorbent coatings, requiring frequent and costly maintenance, Chinese researchers suggest a more durable solution lies in a structural approach inspired by a 3,000-year-old technique.
Modern stealth aircraft rely on layered coatings to deflect radar signals, but these materials are vulnerable to damage from high-speed flight, sandstorms, and environmental factors like humidity and corrosion. Chinese aerospace engineers have criticized these "band-aid" approaches and sought a more integrated solution. A recent study revealed that a dual-layer composite fabric, inspired by Han dynasty jacquard looms, could provide the necessary resilience for China's stealth fighters.
via SCMP Full Text Feed
China claims to have found a solution to the radar-absorbent coating issues plaguing US stealth fighters by drawing inspiration from an ancient Chinese textile innovation: silk jacquard weaving. While US stealth fighters like the F-22 Raptor struggle with the rapid degradation of their radar-absorbent coatings, requiring frequent and costly maintenance, Chinese researchers suggest a more durable solution lies in a structural approach inspired by a 3,000-year-old technique.
Modern stealth aircraft rely on layered coatings to deflect radar signals, but these materials are vulnerable to damage from high-speed flight, sandstorms, and environmental factors like humidity and corrosion. Chinese aerospace engineers have criticized these "band-aid" approaches and sought a more integrated solution. A recent study revealed that a dual-layer composite fabric, inspired by Han dynasty jacquard looms, could provide the necessary resilience for China's stealth fighters.
via SCMP Full Text Feed
