掘进机截割头钻速优化分析

文章基于EBZ120型悬臂式掘进机进行截割临界转速分析优化,通过利用微元法和弹性力学建立力学模型,确定临界状态下,截割头转速解析解,然后深入分析影响截割转速的因素,依据影响程序确定影响介个转速的因素次序,为截割临界转速的确定提供实际操作提供依据。     

Spatial–Temporal Fusion Based Path Planning for Source Seeking in Wireless Sensor Network

International Journal of Wireless Information Networks - Source seeking problem has been faced in many fields, especially in search and rescue applications. We proposed a virtual structure-based...     

Authenticity green coffee bean species and geographical origin using near-infrared spectroscopy combined with chemometrics

To prevent the adulteration of agricultural resources and provide a solution to enhance the green coffee bean supply chain, authentication using the near-infrared spectroscopy (NIRS) technique was investigated. Partial least square with discrimination analysis (PLS-DA) models combined with various preprocessing methods were built from NIR spectra of 153 Vietnamese green coffee samples. The model combined with the standard normal variate and the first order of derivative yielded excellent performance in predicting coffee species with the error cross-validation of 0.0261. PLS-DA model of mean centre and first-order derivative spectra also yielded good performance in verifying geographical indication of green coffee with the error of 0.0656. By contrast, the predicting abilities of post-harvest methods were poor. The overall results showed a high potential of the NIRS in online authentication practices.     

Nanoporous Surface High-Entropy Alloys as Highly Efficient Multisite Electrocatalysts for Nonacidic Hydrogen Evolution Reaction

Electrocatalytic hydrogen evolution in alkaline and neutral media offers the possibility of adopting platinum-free electrocatalysts for large-scale electrochemical production of pure hydrogen fuel, but most state-of-the-art electrocatalytic materials based on nonprecious transition metals operate at high overpotentials. Here, a monolithic nanoporous multielemental CuAlNiMoFe electrode with electroactive high-entropy CuNiMoFe surface is reported to hold great promise as cost-effective electrocatalyst for hydrogen evolution reaction (HER) in alkaline and neutral media. By virtue of a surface high-entropy alloy composed of dissimilar Cu, Ni, Mo, and Fe metals offering bifunctional electrocatalytic sites with enhanced kinetics for water dissociation and adsorption/desorption of reactive hydrogen intermediates, and hierarchical nanoporous Cu scaffold facilitating electron transfer/mass transport, the nanoporous CuAlNiMoFe electrode exhibits superior nonacidic HER electrocatalysis. It only takes overpotentials as low as ≈240 and ≈183 mV to reach current densities of ≈1840 and ≈100 mA cm⁻² in 1 m  KOH and pH 7 buffer electrolytes, respectively; ≈46- and ≈14-fold higher than those of ternary CuAlNi electrode with bimetallic Cu–Ni surface alloy. The outstanding electrocatalytic properties make nonprecious multielemental alloys attractive candidates as high-performance nonacidic HER electrocatalytic electrodes in water electrolysis.     

基于光流法的固体内部声传播方向测量

目前采用光弹设备测量超声传播方向多为人眼主观观测,其误差较大,难以实现精确的定量测量。将Farneback光流法应用于光弹图像的处理,并根据帧与帧之间的光流图来计算光弹图像中的超声传播方向,可以捕捉图像中的动态声场。在实验中对不同传播方向的超声进行了测量,其绝对偏差度数最大值为2.85°,测量结果较为准确。因此,Farneback光流法可用于光弹图像中声波传播方向的判断,且具有快速、准确和直观等特点。     

基于智能电表大数据的异常用电检测

异常或欺诈造成的非技术性电力损失是电力公司损失的主要源头之一。智能电表的广泛使用，使得运用大数据方法实现对非技术性电力损失的有效检测成为可能。提出了一种使用监督学习进行非技术损失检测的方法。该方法基于智能仪表记录的所有信息（耗电量、异常警报等）结合辅助数据库所提供的有关每个智能电表的地理位置和技术参数的附加信息，使用最优的机器算法来深入分析用电客户的用电行为，生成异常用电客户列表。通过现场检查的结果表明，该方法能够较为准确地识别智能电网中所存在异常用电客户。     

多层圆片级堆叠THz硅微波导结构的制作

基于微电子机械系统(MEMS)工艺,提出一种多层圆片堆叠的THz硅微波导结构及其制作方法。为了验证该结构在制作THz无源器件中的优势,基于6层圆片堆叠的硅微波导结构,设计了一种中心频率365 GHz、带宽80 GHz的功率分配/合成结构,并对其进行了仿真。研究了制作该结构的工艺流程,攻克了工艺过程中的关键技术,包括硅深槽刻蚀技术和多层热压键合技术,并给出了工艺结果。最终实现了多层圆片堆叠功率分配/合成结构的工艺制作和测试。测试结果表明,尽管样品的插入损耗较仿真值增加3 dB左右,考虑到加工误差和夹具损耗等情况,样品主要技术指标与设计值较为一致。     

大口径光学元件装夹转运结构设计及分析

为了实现大口径光学元件的安全装夹、转运,通过光学元件开槽与不开槽两种装夹方式的分析,得出开槽夹紧转运方式将带来微裂纹、应力集中、成本高等缺陷,提出了利用摩擦力克服光学零件的重力和惯性力的低应力装夹转运方案。通过对光学元件低应力夹紧结构设计,并利用有限元分析方法,得到不开槽装夹方式下,光学元件的最大主应力为1.11 MPa,最大切应力为0.73 MPa,远低于光学元件破坏的强度极限,且受力均匀,无应力集中现象。     

白酒中氨基甲酸乙酯检测方法比较

建立并使用了高效液相色谱法(HPLC)与气相色谱-质谱联用法(GC-MS)两种白酒样品中EC的检测方法,两种方法定量分析的线性关系良好,相关系数在0.997以上。其中HPLC法检出限为4.0μg/L,回收率在84.9%~105.1%之间,RSD<6.84%;GC-MS法检出限为1.3μg/L,GC-MS检测回收率在95.3%~104.7%之间,RSD<4.26%。结果显示,两种方法的准确性和重复性均符合实验要求。其中HPLC法具有前处理操作方便,且试剂毒性相对较低的优点,但GC-MS方法的精确性和稳定性则比HPLC法更高,且检出限更低、总体处理及进样时间更短,单位时间内能更快、更精确地对酒样中氨基甲酸乙酯进行检测。结合产业实际发展情况,白酒的氨基甲酸乙酯检测量日益增多,检测限要求更低,故使用GC-MS法检测白酒中的氨基甲酸乙酯更能满足今后的检测工作需求。