No abstract

While solution‐processed small‐molecular organic semiconductors have been reported with significant research progress, their random crystal orientations and abundant defects at grain boundaries remain as a major obstacle to achieving high performance in organic electronic devices. In this paper, we demonstrate a binary solvent method that comprises a green solvent to manipulate the crystal alignment, morphology and charge transport of organic semiconductors. 6,13‐bis(triisopropylsilylethynyl) pentacene (TIPS pentacene) was studied as an example to showcase the enlargement of grain width and millimeter‐scale alignment of organic crystals based on the toluene/n‐amyl acetate binary solvents. At an optimized volume ratio of 3 : 1, the toluene/n‐amyl acetate binary solvent gave rise to a 4‐fold reduction in misorientation angle and approximately 40 % increase in the grain width. UV‐visible spectroscopy confirmed strong H‐aggregations with more favorable intrachain interaction and charge transport in TIPS pentacene. X‐ray diffraction showed enhanced peak intensities in (00 l) type of reflections and improved film crystallinity. Finally, thin film transistors were demonstrated to test the charge transport in the TIPS pentacene organic crystals. This work demonstrates the binary green solvent method can effectively regulate the organic semiconductor crystallization and alignment even in the absence of external alignment techniques such as solution shearing, and thereby sheds light on advancing facile organic electronic applications.

The simple instalment of mobile charging piles benefits for its convenient layout, while dynamic arrangements of those charging piles through mobile mode make up for the insufficient number of fixed charging piles, which meets the growing charging demand under the increasing popularity of electric vehicles. According to the application requirements of mobile charging piles, CATIA software was used to model the structure, of which strength and reliability were analysed under four load conditions. Our results have demonstrated that the maximum deformation value of the structure is 3.07 mm, and the maximum stress is 134.41 MPa, which is within the safety range of the selected materials. In addition, the gravity centre of the charging pile is located at the bottom of the structure, and thus the stability meets the requirements. Taken together, our research provided a beneficial reference for future engineering practice.

With the application of Intelligent Manufacturing in the mining industry, the demand for intelligent and unmanned delivery of Stacking material is more and more urgent. The particle size of iron mineral powder is very small, the surface shape is very irregular, and Acquisition effect affected by absorbing wave, diffuse reflection, signal interference and other factors. The intelligent Industrial robot system has a great challenge in the accurate selection of grab point, which is easy to cause the lower chute and upper rope climbing of grab, and cause the delivery business interruption. Because of the above characteristics of iron mineral powder, it is very difficult to develop an intelligent shipping system with precise collection, intelligent scheduling and automatic shipping technology. At present, there is no systematic, practical and intelligent industrial robot system. After three years of research, the project team has conquered the key technologies of the project, developed the key technologies such as the iron concentrate height acquisition radar, three-dimensional distribution algorithm, and developed the inteligent industrial robot shipping system, which can be applied to the full-automatic delivery of bulk materials in the stacking warehouse. Field test shows that the intelligent system have good effect.

High driving efficiency remains challenging in autonomous electric vehicles, especially in small electric vehicle subtype. Here, we reported investigation of the structure and requirements of the drive system for those vehicles, while the motor-drive axle combined integrated driving scheme has been chosen. In the study, the power matching of drive motor as well as transmission ratio has been calculated based on the performance of the small electric vehicles, and the total gear ratio of 8.124 was determined. For better comprehensive performance and efficiency, the two-stage retarder has been designed, in which elements including high-speed shaft, low-speed shaft, gears, and differential have been examined to ensure their proof strength when the motor outputs reached the maximum torque. Notably, by utilizing topology optimization, Gear 4, the transmission unit with the heaviest weight percentage has been modified in a lightweight way, achieving a 41% reduction of the mass in emulation analysis and turned up to the target of optimization eventually.