基于CFD技术优化50 L发酵罐内气体分布器

通过CFD模拟技术对50L通气搅拌发酵罐内不同气体分布器的传质混合效果进行气液双相流模拟。首先对发酵罐自带气体分布器进行流场模拟,针对模拟结果提出两种改进气体分布器。结果表明:双层环形气体分布器表现出一种较理想的混合传质效果,为此类发酵罐的优化和放大提供一种有效的技术手段。     

Using a pulsed electric current to reduce the susceptibility of high-strength steel to the stress corrosion cracking caused by hydrogen

Under the tensile loading, the damage of metals in the corrosive medium is the most destructive and harmful. In this study, the stress corrosion cracking behavior of H-charged high-strength steel in 3.5 wt% NaCl solution after electropulsing treatment was investigated. The experimental results from elongation, yield strength, fracture morphology, and polarization curves all demonstrate the positive effect of the pulsed processing, as it reduced the susceptibility of steel to stress corrosion cracking by removing hydrogen by electropulsing. The reduction in hydrogen content of the pulsed high–strength steels was attributed to electromigration and increased system free energy, which drove the hydrogen atoms in the steel to de–trap and reduced the susceptibility to stress corrosion cracking.     

底板带压开采工作面并行电透视探测技术应用研究

汾西矿务局水峪矿部分工作面现已面临带压开采问题，受下伏奥陶系灰岩水害影响，工作面安全回采过程中的防治水工作难度增加，尤其是带压开采工作面底板灰岩水的有效探测变得异常紧迫与重要。为了解决底板带压开采工作面富水区的探测问题，水峪矿引入了并行电透视技术，并对相应工作面进行了探测应用。并行电透视技术相对于传统音频电透视技术具有仪器智能化控制发射接收切换、一发射点并行对应多接收点、仪器智能快速高效跑极施工的3项技术优势，可体现应用现场施工高效、实际探测效果可靠的技术特点。经过对并行电透视技术及探测应用效果分析研究，证明该方法技术领先，现场施工高效，实际探测结果可靠，实用性强。     

Crystal-field engineering of ultrabroadband mid-infrared emission in Co2+-doped nano-chalcogenide glass composites

Tunable and ultrabroadband mid-infrared (MIR) emissions in the range of 2.5–4.5 μm are firstly reported from Co²⁺-doped nano-chalcogenide (ChG) glass composites. The composites embedded with a variety of binary (ZnS, CdS, ZnSe) and ternary (ZnCdS, ZnSSe) ChG nanocrystals (NCs) can be readily obtained by a simple one-step thermal annealing method. They are highly transparent in the near- and mid-infrared wavelength region. Low-cost and commercially available Er³⁺-doped fiber lasers can be used as the excitation source. By crystal-field engineering of the embedded NCs through cation- or anion-substitution, the emission properties of Co²⁺ including its emission peak wavelength and bandwidth can be tailored in a broad spectral range. The phenomena can be accounted for by crystal-field theory. Such nano-ChG composites, perfectly filling the 3–4 μm spectral gap between the oscillations of Cr²⁺ and Fe²⁺ doped IIVI ChG crystals, may find important MIR photonic applications (e.g., gas sensing), or can be used directly as an efficient pump source for Fe²⁺: IIVI crystals which are suffering from lack of pump sources.     

天然气新型气液分离器性能试验研究

为了解决天然气含有饱和水汽和少量烃降低输气效率、堵塞管线和设备等问题,利用旋风子、稳流元件、叶栅式分离元件、折流板式分离元件组合成新型天然气分离器。利用相位多普勒粒子分析仪对新型天然气分离器进出口粒子粒径与液态水含量的进行对比测试,以研究新型分离器的分离效率。结果表明:新型分离器具有良好的气液分离作用;在流量为10～64 m~3/h时,分离器的分离效率成抛物线形式,在33 m~3/h时分离器的分离效率降到最低值95.16%,主要原因是流量在33 m~3/h时,试验气液混合不均匀,导致内部流态紊乱,以至于试验测得分离效率相对偏低;在流量为10 m~3/h时分离器分离效率最高,为99.29%;分离器对该进口条件的气体中雾状液粒有较高的分离作用,且可以明显降低分离器出口气体中液粒的平均粒径;从进口到气相出口压力逐渐降低,总压降为950 Pa;流动区域速度梯度大不利于气液相分离,流动掺混会导致分离效率降低。     

锂离子在三维骨架复合锂金属负极中的沉积规律

锂金属具有极高的理论比容量和极低的氧化还原电极电势，成为了新一代高比能二次电池最理想的负极材料。然而，锂金属负极其走向大规模应用仍存在诸多问题与挑战。三维骨架复合负极可以控制金属锂均匀形核，低电流密度下均匀沉积，有望推动锂金属负极的实用化。为了更高效地指导锂金属负极设计和优化，采用相场理论，对三维骨架锂金属负极中比表面积对金属锂沉积过程的作用机制进行了定量分析和探究，发现了比表面积调控金属锂沉积的两阶段作用机理，并提出了基于比表面积参数的三维骨架负极设计与优化方向，从而最大程度发挥三维骨架在调控稳定金属锂负极上的积极作用。     

An immersive virtual reality serious game to enhance earthquake behavioral responses and post-earthquake evacuation preparedness in buildings

Enhancing the earthquake behavioral responses and post-earthquake evacuation preparedness of building occupants is beneficial to increasing their chances of survival and reducing casualties after the mainshock of an earthquake. Traditionally, training approaches such as seminars, posters, videos or drills are applied to enhance preparedness. However, they are not highly engaging and have limited sensory capabilities to mimic life-threatening scenarios for the purpose of training potential participants. Immersive Virtual Reality (IVR) and Serious Games (SG) as innovative digital technologies can be used to create training tools to overcome these limitations. In this study, we propose an IVR SG-based training system to improve earthquake behavioral responses and post-earthquake evacuation preparedness. Auckland City Hospital was chosen as a case study to test our IVR SG training system. A set of training objectives based on best evacuation practice has been identified and embedded into several training scenarios of the IVR SG. Hospital staff (healthcare and administrative professionals) and visitors were recruited as participants to be exposed to these training scenarios. Participants’ preparedness has been measured along two dimensions: 1) Knowledge about best evacuation practice; 2) Self-efficacy in dealing with earthquake emergencies. Assessment results showed that there was a significant knowledge and self-efficacy increase after the training. In addition, participants acknowledged that it was easy, helpful, and engaging to learn best evacuation practice knowledge through the IVR SG training system.     

Estimating posterior inference quality of the relational infinite latent feature model for overlapping community detection

Overlapping community detection has become a very hot research topic in recent decades, and a plethora of methods have been proposed. But, a common challenge in many existing overlapping community detection approaches is that the number of communities K must be predefinedmanually. We propose a flexible nonparametric Bayesian generative model for count-value networks, which can allow K to increase as more and more data are encountered instead of to be fixed in advance. The Indian buffet process was used to model the community assignment matrix Z, and an uncollapsed Gibbs sampler has been derived.However, as the community assignment matrix Z is a structured multi-variable parameter, how to summarize the posterior inference results and estimate the inference quality about Z, is still a considerable challenge in the literature. In this paper, a graph convolutional neural network based graph classifier was utilized to help to summarize the results and to estimate the inference quality about Z. We conduct extensive experiments on synthetic data and real data, and find that empirically, the traditional posterior summarization strategy is reliable.     

环氧丙烷产业现状及发展趋势

简述了全球及我国环氧丙烷产业的生产及供需现状;对环氧丙烷在聚醚多元醇、丙二醇/碳酸二甲酯、丙二醇醚及其酯类等领域的应用进行了分析;并对环氧丙烷生产技术进行了比较,提出了发展建议。     

一种液压摩擦焊机电液系统研究与试验

针对海上石油平台、海底输送管线维修的需要,提供了一种液压摩擦焊机液压和电器系统设计思路,通过参数计算、电液控制系统设计,研发了一种液压摩擦焊机,通过对DH38钢摩擦叠焊单元成型工艺试验,发现焊接接头拉伸强度达到了母材强度的76%以上,验证了液压摩擦焊机的可靠性能,通过该研究的应用,可对海上石油平台、海底输送管线的维修起到积极作用。