YIN Lang1,2,3, LI Shuchuan1,2,3, YU Huamin1,2,3, XU Zhangyu1,2,3, LIU Xuejun1,2,3, ZHANG Fan1,2,3, HUANG Yongan1,2,3
1. State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;
2. Center for Advanced Electronic Manufacturing, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;
3. Flexible Electronics Research Center, Huazhong University of Science and Technology, Wuhan 430074, China
Aerospace technology demands ever-higher standards for aircraft performance, safety, and intelligence. Traditional rigid sensors struggle to achieve real-time, in-situ measurement of multifunctional and large-scale sensory signals, and the extensive deployment of discrete rigid sensors has a non-negligible impact on the aircraft’s structure and its surface flow field. The advent of flexible electronics offers a new opportunity to overcome the bottlenecks of conventional sensing technology. Its inherent characteristics— such as being flexible and conformable— have fostered the development of new concepts like the “SensorCraft”. The core principle involves deploying large-scale, distributed sensor networks across the aircraft’s surface and within its structure for real-time, multi-modal perception of both the aircraft’s state and the external environment. This review systematically covers the key principles and representative device/system designs of flexible electronics for sensing surface flow characteristics (e.g., pressure, shear stress, airflow) and for perceiving aerodynamic forces and thermal conditions (e.g., strain, temperature). It also discusses the applications of flexible electronic skin in active actuation domains, including drag reduction, anti-/de-icing, and electromagnetic control. Combined with the burgeoning field of artificial intelligence, the functionality and intelligence of flexible electronic skins can be further expanded. Finally, the paper provides an outlook on the main challenges and future directions in this field, aiming to promote the development of embodied intelligence for SensorCraft.