超级电容器用solvent-in-salt型电解液的研究进展

Solvent-in-salt (SIS)型电解液作为一类新型超浓缩电解液，主要由水或者有机溶剂和易溶盐组成，具有溶液溶剂化程度小、自由溶剂分子少、电化学窗口宽、电化学稳定性高等特点，在超级电容器中显示了独特的优势并展现了良好的应用前景。本文重点综述了SIS型电解液的原理和优势，梳理了近年来SIS作为超级电容器电解液的研究进展，总结了其存在的问题，同时展望了SIS型电解液未来的发展方向。     

北方干鲜果害鼠绿色防控技术

文章介绍了北方干鲜果各种不同为害方式害鼠的相应的绿色防控技术,树根和树干害鼠中华鼢鼠、棕色田鼠宜采用银恒快速捕鼠器捕杀;果实害鼠岩松鼠、花鼠、北社鼠防治时等应采用坚果注射杀鼠剂精准灭鼠技术;果园地面害鼠大仓鼠、长尾仓鼠、黑线姬鼠等可采用TBS技术绿色防控;果实贮藏害鼠褐家鼠、黄胸鼠、小家鼠采用粘鼠板消灭。各类绿色灭鼠技术可为干鲜果害鼠的防控提供参考。     

Simulation of the mushroom cloud generated from a high-energy explosion using large-eddy simulation

We performed numerical simulations of a 20 kT heavy explosion to predict the rise and diffusion of mushroom cloud after the atmospheric pressure is recover     

Optimal vibration image size determination for convolutional neural network based fluid-film rotor-bearing system diagnosis

This paper suggests an image gradient based method that determines the optimal image size for convolutional neural network (CNN)-based diagnosis of fluid-film rotorbearing systems. As distinct patterns improve the diagnosis performance, a criterion is defined to measure the intensity of patterns in an image. The proposed criterion is derived by segmenting an image by the size of the CNN filter and evaluating each segment through the use of image gradient analysis. Vibration signals from a testbed are used to demonstrate the proposed method. First, the signals are transformed into vibration images by using an omnidirectional regeneration technique. Then, vibration images of four different health states are analyzed using the suggested criterion. The analyzed results are compared to the performance of CNN based diagnosis. The results indicate that the proposed criterion can determine the optimal size range of the vibration image that gives the best performance for CNN-based diagnosis.

     

Performance characteristics of an integrated power generation system combining gas turbine combined cycle,carbon capture and methanation

This study analyzes the performance of an integrated power generation system that combines a gas turbine combined cycle (GTCC) with a methanation process. The methanation process uses hydrogen provided by a power-to-gas (PtG) process and carbon dioxide captured from the exhaust gas of the GTCC. The research aim was to maximize the GTCC performance through an effective integration between the GTCC and methanation. Two methods were proposed to utilize the steam generated from the methanation process. One was to supply it to the steam turbine bottoming cycle of the GTCC, and the other was to inject it into the GT combustor. Also investigated was the injection of oxygen generated in the PtG process into the gas turbine combustor. The largest improvements in the power and efficiency were predicted to be 19.3 % and 4.9 % through the combination of the steam supply to the bottoming cycle and the oxygen injection to the combustor.

     

A hybrid finite element and analytical model for determining the mesh stiffness of internal gear pairs

Journal of Mechanical Science and Technology - This work developed an efficient model for calculating the mesh stiffness of spur/helical internal gear pairs by combining the finite element method...     

A novel antibody population optimization based artificial immune system for rotating equipment anomaly detection

Journal of Mechanical Science and Technology - Rotating machines are one of the most common equipments in modern industry, effective fault detection and diagnosis methods are vital to equipment...     

Analysis of Phytochemical Composition of Camellia oleifera Oil and Evaluation of its Anti-Inflammatory Effect in Lipopolysaccharide-Stimulated RAW 264.7 Macrophages

In China, Camellia oleifera oil (COO) is not only a common edible oil but also a traditional remedy widely applied to ameliorate a variety of illnesses associated with inflammation, such as mouth ulcers, thrush, eczema, etc. However, there has been a lack of relevant biological research on the anti-inflammatory capacity of COO, and the specific bioactive lipid phytochemicals contributing to the anti-inflammatory effect need further research. In this study, the RAW 264.7 macrophages model was used to investigate the anti-inflammatory capacity of COO. Our data showed that 33–200 μg/mL COO markedly inhibited the lipopolysaccharide lipopolysaccharide (LPS)-stimulated nitric oxide (NO.) secretion via the suppression of Nos2 and Cox-2 expression. The enzyme immunoassay confirmed that COO also exhibited a strong suppressive effect on the expression of proinflammatory cytokines such as Tnf-α and Il-6. To further explore the correlation between the anti-inflammatory effects and the lipid phytochemicals in COO, 10 samples were collected and screened for their chemical compositions. It was interestingly demonstrated that the polyphenol extracts of COO play a vital role in its anti-inflammatory properties. In addition, an oil-in-water (O/W) emulsion-based system was also developed to deliver the liposoluble COO into the cells, and the feasibility of this system was confirmed. Our research confirms the anti-inflammatory potential of COO and highlights that the main functional ingredient is polyphenol extracts. This may provide a scientific basis for the comprehensive utilization and development of COO and related functional foods.