Acta Energiae Solaris Sinica•2026•DOI: 10.19912/j.0254-0096.tynxb.202608_9725
This study investigates the icing mechanisms and characteristics of a 300 kW wind turbine at the Xuefeng Mountain Energy Equipment Safety National Observation and Research Station. A full-scale three-dimensional rotating icing model of wind turbine blades is developed using a rotating reference frame and Eulerian gas-liquid two-phase flow model. The differences between rime and glaze icing are compared through numerical simulation in terms of ice morphology, mass, and temperature effects. Results indicate that: (1) temperature has negligible effect on rime icing but significantly affects the icing region, morphology, and mass of glaze icing; (2) rime forms streamlined ice, while glaze forms horn-shaped ice; as temperature decreases, the glaze icing region shrinks but horn-shaped features become more pronounced; (3) the maximum icing thickness of rime increases monotonically along the blade span, whereas glaze exhibits non-monotonic behavior; at temperatures near 0°C (e.g., -1°C), a special case occurs where the icing thickness at mid-span (0.60R) exceeds that at the blade tip (0.90R); (4) for the same icing duration, rime icing mass exceeds glaze icing mass, and as temperature decreases, glaze icing mass shows a growth trend with decreasing acceleration. These findings provide a reliable model and data support for winter wind farm operation and power prediction.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3792-6
The rapid expansion of home-based digital health monitoring necessitates electrodes capable of simultaneous, accurate acquisition of electrophysiological signals and body temperature. Conventional single-function electrodes, including metal block, gel, and Ag/AgCl types, suffer from limitations such as restricted movement, skin irritation, signal degradation over time, and poor permeability for prolonged use. To overcome these challenges, we developed a low-cost, multifunctional flexible electrode enabling concurrent body temperature and electrophysiological signal monitoring without cross-interference. Body temperature is assessed via visual colorimetric evaluation and precisely measured using a custom smartphone application. The electrode features high air permeability, ultra-thin architecture, superior flexibility, antibacterial properties, and strong skin adhesion, while maintaining low interfacial impedance for stable, long-term acquisition of high-fidelity signals such as electrocardiography (ECG) and surface electromyography (sEMG). Integrated with a Raspberry Pi platform and a hybrid convolutional neural network-long short-term memory (CNN-LSTM) algorithm, the system achieves intelligent arrhythmia detection with 99.30% accuracy. This novel electrode provides a powerful tool for multifunctional sensing of temperature and physiological electrical signals, with significant potential for wearable physiological tracking applications.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3428-6
Alternating current electroluminescent (ACEL) devices with a pyramidal conical structure luminescent layer were fabricated and integrated with a convolutional neural network (CNN) to construct an image recognition system for robotic arm applications. The ACEL device serves as a flexible, low-power, homogeneous light source, enabling multispectral imaging that mitigates ambient light interference. Images captured by an ESP32-CAM module are processed by a deep learning model, achieving a recognition accuracy of 96.7% for seven distinct shapes (rectangle, triangle, circle, star, butterfly, flower, snowflake). The system demonstrates high brightness, high contrast, and flexibility, addressing limitations of traditional image recognition systems that rely on hand-designed features and are susceptible to illumination variations. This work validates the potential of ACEL-based multispectral imaging for robust environment perception in dynamic scenarios, offering a pathway toward more efficient and reliable robotic vision systems.