Accumulation of snow and ice often causes problems and even dangerous situations for both industry and the general population. Passive de‐icing technologies, e.g., hydrophobic, liquid‐infused bionic surfaces, have attracted more and more attention compared with active de‐icing technologies, e.g., electric heating, hot air heating, due to the passive de‐icing technology's lower energy consumption and sustainability footprint. Using passive de‐icing coatings seems to be one of the most promising solutions. However, the previously reported de‐icing coatings suffer from high ice adhesion strength or short service life caused by wear. An intrinsic self‐healing material based on poly‐silicone‐urea is developed in this work to address these problems. The material is prepared by introducing dynamic disulfide bonds into the hard phase of the polymer. Experimental results indicate that this poly‐silicone‐urea has a self‐healing efficiency of close to 99%. More interestingly, it is found that the coating prepared from this poly‐silicone‐urea has a super low ice adhesion force, only 7 ± 1 kPa, which is almost the lowest value compared with previous intrinsic self‐healing de‐/anti‐icing reports. This material can maintain low ice adhesion strength after healing. This intrinsic self‐healing poly‐silicone‐urea can meet several practical applications, opening the door for future sustainable anti‐/de‐icing technologies.

Vibration measurement systems containing sensors, signal conditioning, and data acquisition devices, are important for monitoring motors, gearboxes, turbines, etc. Microelectromechanical and piezoelectric sensors are predominantly used for vibration measurements. However, they are not cost‐effective, flexible in design, and incapable of self‐powering. Recently, triboelectric nano‐generator (TENG)‐based vibration sensors have been considered as a possible alternative to resolve this problem, and tremendous progress has been achieved. Previous work on TENG‐based sensors is limited to optimizing the sensor design, while the signal conditioning and data acquisition of TENG signal still need investigation for actual applications. This work develops a TENG‐based vibration measurement device and self‐powered alerting system that is integrated with the signal condition and data acquisition systems. The experimental results show that the proposed measurement system successfully measures signals within the range of 0–1800 Hz frequency. Meanwhile, the TENG generates a high output, up to 80 V and 0.55 µA from small size TENG area (3.6 cm²). The signal is adequate to harvest energy for self‐powering to drive alerting components (harvest 320 mJ in 36 h, which drives alarming for duration of 1.5 s). The proposed device is cost‐effective (30 $), small (105 cm³), and consumes less power (0.18 W) in comparison to commercial devices.

Under certain operating conditions, rolling contacts have been shown to experience some challenges when lubricated with engine oils containing zinc dialkyldithophosphate (ZDDP) anti-wear additive. In order to better understand the main damage mechanisms during various operating conditions, further studies are needed. This article studies micro-pitting and wear damages of bearing steel surfaces under mixed lubrication conditions in a ball-on-disc setup, lubricated with different engine oils. Based on the results, micro-pitting and wear damage is shown to be highly case-dependent. In general, PAO-based engine oil tends to eliminate micro-pitting damage compared to mineral-based engine oil at less severe lubricating conditions. Moreover, a critical lambda was found for both oils, where the highest micro-pitting damage was observed.