The p-n heterojunction constructed by NiMnO3 nanoparticles and Ni3S4 to promote charge separation and efficient catalytic hydrogen evolution

Using sunlight to catalyze water to produce H₂ is a key technology to solve the problem of energy shortage. In this research, perovskite-type NiMnO₃ and Ni₃S₄ was recombined through secondary hydrothermal treatment. The optimal hydrogen evolution for composite materials NiMnO₃/Ni₃S₄is 3.76 μmol mg^?1 h^?1, that 3.7 and 4 times more than that of two monomer materials, respectively. After four cycles of catalytic experiments, proving the high efficiency and stability of the composite catalyst. The characteristics of fluorescence spectroscopy and electrochemistry have confirmed the existence of p-n heterostructures, the excellent catalytic performance is related to the built-in electric field (accelerating the separation and utilization of photocharges) generated by the combination of NiMnO₃ and Ni₃S₄. Strengthening the performance of the catalyst by constructing a heterostructure is an effective modification strategy and has positive application value in the fields of sensors and optoelectronics.     

Improve efficiency and anti-offset using new pot ferrite core in wireless power transmission system

Electrical Engineering - The issue of magnetic flux leakage has received considerable critical attention, which severely reduces the transmission efficiency and loses a lot of energy in wireless...     

Using deep learning to combine static and dynamic power analyses of cryptographic circuits

Side-channel attacks have shown to be efficient tools in breaking cryptographic hardware. Many conventional algorithms have been proposed to perform side-channel attacks exploiting the dynamic power leakage. In recent years, with the development of processing technology, static power has emerged as a new potential source for side-channel leakage. Both types of power leakage have their advantages and disadvantages. In this work, we propose to use the deep neural network technique to combine the benefits of both static and dynamic power. This approach replaces the classifier in template attacks with our proposed long short-term memory network schemes. Hence, instead of deriving a specific probability density model for one particular type of power leakage, we gain the ability of combining different leakage sources using a structural algorithm. In this paper, we propose three schemes to combine the static and dynamic power leakage. The performance of these schemes is compared using simulated test circuits designed with a 45-nm library.     

Numerical investigation of dual-fuel direct injection on RCCI combustion performance at low load condition

Journal of Mechanical Science and Technology - A numerical study was performed to investigate the combustion characteristics of hydrogenated catalytic biodiesel (HCB)/gasoline reactivity controlled...     

Fabrication and optical properties of transparent LaErZr2O7 ceramic with high excess contents of La and Er

In this study, transparent LaErZr₂O₇ ceramic with high excess La and Er contents (nominally La_1.28Er_1.28Zr₂O_7.84) was successfully prepared by vacuum sintering at 1850?°C for 6?h using nanosized powder. The XRD, SEM, EDX and TEM results reveal that the single pyrochlore phase in the powder sample transforms to the coexistence of La-rich pyrochlore phase and Er-rich defect fluorite phase after high temperature sintering. The high excess amounts of La and Er favor the formation of pyrochlore structure. Despite the coexistence of two phases, the sample with 1?mm thickness shows excellent in-line transmittance in the visible to mid-infrared region (as high as 81% at 1100?nm). The upconversion and infrared emission under 980?nm exciting were measured and discussed as well.     

Simulation and exploration of cavitation process during microalgae oil extracting with ultrasonic-assisted for hydrogen production

Microalgae is promising to be used as feedstock resources for hydrogen production due to its high oil and grease contents. This promotes the development of extraction technology of microalgae oil. In this study, based on the Rayleigh-Plesset equation, the effects of temperature, pressure, ultrasonic power and frequency on the bubble motion of ethanol ultrasound cavitation are investigated. Subsequently, the effects of different process parameters on the extraction rate are studied using Schizochytrium sp. as raw material by stirring or ultrasonic-assisted extraction. And the composition of algae extraction oil is analyzed. The results show that the amplitude of cavitation bubbles increases with the increase of ultrasonic power and decrease of ultrasonic frequency. The extraction rate of algae oil reaches 93.76 ± 0.48% when the ultrasonic power is 150 W, the reaction time is 30 min, the temperature is 50 °C and the liquid-solid ratio is 10:1.     

Facile Synthesis of Fluorine Doped Rutile TiO2 Nanorod Arrays for Photocatalytic Removal of Formaldehyde

Catalysis Letters - It is crucial to explore a facile synthesis of rutile TiO2 nanorods anchored at carbon cloth at low temperature for applicable air purifier. Herein, antler-like TiO2 rectangular...     

南轻YXP系列饮料洗瓶机的发展沿革

随着中国饮料市场的升温,南京轻工业机械厂于2004年设计开发了YXP双端式饮料洗瓶机,该设备最初是针对百事可乐玻璃瓶进行清洗,后来为了提高洗净率演变成为附加超声波装置的,并且还研发出酸梅汤玻璃瓶清洗,瓶盒间距有83、78、105 mm。由于饮料瓶大部分不带标纸,所以该设备不带除标,我厂也根据带标饮料瓶又推出过带除标机构的饮料洗瓶机。箱体多种组合方式,一般为两碱槽,三个圆弧头,根据用户浸泡时间需要,对箱体进行了多种组合方式。     

碳纤维原丝含油率测试影响因素研究

利用改进的索氏提取回流法测量碳纤维原丝含油率.研究了溶剂回流温度、回流时间、环境湿度对测试结果的影响,结果表明:随着回流温度的提高,2小时内回流清洗效果不断增强,当回流温度大于54℃,次数大于12次,油剂清洗效果基本保持不变.可通过提高回流温度以提高单位时间内的回流次数,优化纤维含油率测试的准确性和测试效率.环境湿度对索氏提取测纤维含油率有显著影响:控制环境湿度在50～52％RH范围内,可将纤维吸潮质量变化控制在纤维质量的0.005％,油剂相对含量的0.2％～0.6％,可将测试稳定差值降低至≤0.05％,测试方法差值<0.1％,满足油剂测试工艺要求.回流时间≥2 h,回流温度≥54℃,测试环境湿度50～52％RH,索氏提取回流法油剂测试误差<0.05％.