运行压力对超声雾化溶液除湿系统性能的影响

基于溶液除湿热质传递过程中所遵循的质量平衡、能量平衡模型，以超声雾化溶液除湿系统（UADS）为例，探讨了在不同空气处理温度、湿度下，系统运行压力对除湿性能的影响。结果表明：随着运行压力的升高，UADS系统的除湿性能显著改善。特别是在所处理空气入口温度较高时，提升系统运行压力对除湿效率的提高作用更加显著。同时，当所处理空气的含湿量较大时，提高运行压力对系统除湿速率的增幅明显，而对除湿效率的改善作用减弱。此外，当除湿系统在较高压力下运行时，其除湿效率受所处理空气入口温湿度变化而产生的波动减小，系统性能稳定性显著改善。所得结果可对溶液除湿系统的高效、稳定运行提供积极参考。     

混凝剂预处理非工艺低放废水研究

我国后处理工业示范厂和后处理大厂产生的非工艺低放废水具有年产生量大、成分复杂、污染核素种类多等特点。针对后处理非工艺低放废水的特点，初步探究了使用混凝剂处理非工艺低放废水的可行性。研究用非离子型聚丙烯酰胺（NPAM）为助凝剂，比较了聚合氯化铝（PAC）、聚合硫酸铁（PFS）、阴离子型聚丙烯酰胺（PAM）3种混凝剂对模拟非工艺低放废水中总有机碳（TOC）的去除效果。通过正交实验探讨了混凝效果的影响因素。结果表明：聚合氯化铝对模拟非工艺低放废水的混凝效果最佳，混凝剂的投加量是影响混凝效果的主要因素。当混凝剂和助凝剂的加入量分别为348 mg/L和24 μg/L、混凝时间为30 min、pH=5时，得到去除模拟非工艺低放废水中TOC的最优方案，TOC去除率达到24%。     

运行工况对多向扰流强化管CaSO4污垢特性的影响

为更深入并准确研究运行工况条件对多向扰流强化管CaSO_4污垢特性的影响,基于FLUENT软件的UDF功能构建了恒壁温条件下结垢传质过程与温度场的耦合作用关系,进一步采用田口法对运行工况致垢的贡献率进行了模拟比较,分析了贡献率较大的运行工况对污垢特性的影响。结果表明:溶液溶度致垢的贡献率占53.2%,而壁面温度、进口流速和进口温度的贡献率分别为22.2%、19.3%和5.3%;溶液溶度在4.0～2.5 kg/m~3,污垢热阻降低达90.47%,并且随溶度降低其相邻溶度间降低比例基本不变;壁面温度在340.0～315.0 K时,污垢热阻降低了65.22%,在前一阶段相邻温度间降低比例基本上不变,当达到320.0 K后降低明显;流速在1.0～2.5 m/s时,随流速的增加,污垢热阻降低68.65%,且随流速的增加,相邻流速间降低的速度明显减缓。     

Robust method to provide exponential convergence of model parameters solving linear time-invariant plant identification problem

The scope of this research is a problem of parameters identification of a linear time-invariant plant, which (1) input signal is not frequency-rich, (2) is subjected to initial conditions and external disturbances. The memory regressor extension (MRE) scheme, in which a specially derived differential equation is used as a filter, is applied to solve the above-stated problem. Such a filter allows us to obtain a bounded regressor value, for which a condition of the initial excitation (IE) is met. Using the MRE scheme, the recursive least-squares method with the forgetting factor is used to derive an adaptation law. The following properties have been proved for the proposed approach. If the IE condition is met, then: (1) the parameter error of identification is bounded and converges to zero exponentially (if there are no external disturbances) or to a set (in the case of them) with an adjustable rate, (2) the parameters adaptation rate is a finite value. The above-mentioned properties are mathematically proved and demonstrated via simulation experiments.     

杏鲍菇富硒蛋白的营养结构特性及对铅毒性的缓解作用

铅主要通过饮食进入人体并在体内积累，对人体免疫和代谢等系统造成损伤，补充硒可以显著改善铅暴露对机体的危害。本研究以杏鲍菇富硒蛋白（selenium-enriched protein from Pleurotus eryngii，SePEP）为原料，通过高效液相色谱-电感耦合等离子体质谱联用技术、傅里叶变换红外光谱等测定蛋白硒形态及结构。通过细胞实验探究蛋白体外模拟消化产物对Pb2＋引起的RAW264.7细胞毒性的缓解作用。结果表明，SePEP硒含量为（360.64±3.11）mg/kg，硒形态主要包括硒代蛋氨酸（SeMet，（48.04±0.64）%（相对含量，下同））、硒代胱氨酸（SeCys2，（31.91±0.51）%）和甲基硒代半胱氨酸（MeSeCys，（14.65±0.36）%）。硒的添加显著促进了氨基酸的生成，改变了蛋白质的结构，α-螺旋结构相对含量由（20.30±0.87）%增加至（25.00±1.60）%，无规卷曲结构相对含量由（20.38±0.84）%减少至（13.85±1.66）%，总巯基与二硫键含量及表面疏水性均显著增加（P＜0.05）。添加75 μg/mL SePEP消化产物后，Pb2＋处理的RAW264.7细胞存活率由接近50%显著升高至（76.95±6.95）%，细胞培养液中乳酸脱氢酶释放量降低57.45%，并且3 种促炎细胞因子白细胞介素（interleukin，IL）-6、IL-8和肿瘤坏死因子α的释放受到显著抑制（P＜0.05），说明SePEP消化产物对Pb2＋暴露引起的RAW264.7细胞损伤有缓解作用。本实验研究成果可为研发安全、有效的改善铅毒性的功能富硒蛋白食品提供参考。     

Two-Step Processing Method for Blending High-Performance Polymers with Notable Thermal and Rheological Differences: PEI and PBT

Blends between high-performance polymers (HPP) are barely studied, especially those produced by melting processing. In this work, it is proposed a novel methodology to prepare blends between polymers with notable processing temperature differences: poly(ether imide) (PEI) and poly(butylene terephthalate) (PBT). Processing parameters are settled after thermal and rheological evaluation of pure materials, those results suggest these blends need to be produced by steps. It is found a synergistic effect such as lowering PEI processing temperature and reducing PBT hydrolysis at high temperatures. Propose methodology allows to produce blends between HPP in the whole composition range with the same processing conditions.     

Adsorption behavior and kinetics of H2S on a potassium-promoted hydrotalcite

Adsorption of H₂S and the influence of steam on its adsorption capacity and kinetics were studied on a commercial potassium-promoted hydrotalcite. The sorbent shows a very high cyclic working capacity for H₂S compared to CO₂ and H₂O, even at lower partial pressures and at different operating temperatures ranging between 300 and 500 °C. The operating temperature does not significantly influence the cyclic working capacity for half-cycle times of 30 min. The adsorption mechanism, however, changes at higher temperatures. At lower temperatures (300 °C) a fast adsorption with a fast approach to steady state was observed. At higher operating temperatures, H₂S reacts with the hydrotalcite structure, forming strongly bonded sulfuric species on the sorbent. When using dry regeneration conditions, the first cycles in cyclic operation at higher temperatures show a significantly higher adsorption of H₂S (especially the first cycle), which cannot be desorbed during regeneration with N₂. After the first fast initial adsorption rate a continuous slow adsorption of H₂S occurs, probably caused by a surface reaction between H₂S and the hydrotalcite structure. This reaction is, however, reversible if steam is used.The adsorption mechanism for H₂S and H₂O was determined using multiple cyclic experiments comparable to previous studies performed for CO₂ and H₂O adsorption. It is evident that the adsorption mechanism developed for CO₂ on the same sorbents is also valid for H₂S, indicating that the developed mechanism is consistent for sour gas adsorption on this type of sorbents. The cyclic working capacity can be significantly increased if steam is used during the regeneration step of the sorbent. The mechanistic model developed for the adsorption of CO₂ and H₂O was successfully validated with more than 160 different TGA experiments. An operating temperature of 400 °C seems to be optimal to achieve a high cyclic working capacity for H₂S, because at higher temperatures the regeneration of the formed sulfuric species seems to be hindered resulting in a significant decrease in the cyclic working capacity.     

基于EEMD能量熵和混合算法的电机轴承故障诊断

针对提升机电机轴承振动信号的非平稳特性和单一粒子群算法(PSO) 优化径向基函数（RBF）神经网络时存在网络收敛速度慢和适应度值易陷入局部最小的缺点，提出基于集合经验模态分解（EEMD）能量熵和模拟退火粒子群混合算法（SAPSO）优化RBF神经网络的提升机电机轴承故障诊断方法。基于EEMD求取振动信号各固有模态函数分量的能量熵，并使用相关性分析方法剔除虚假的分量，把筛选后的有效数据作为故障识别的特征向量；利用模拟退火（SA）算法具有局部概率突跳的特性，将SA算法和PSO算法相结合，在优化RBF诊断模型隐含层参数时以实现不同算法间的优劣互补。仿真结果表明，使用SAPSO算法优化后的RBF神经网络模型在提升机电机轴承故障诊断中能够加快网络收敛速度和提升故障识别精度。     

黄白茨煤矿021205工作面下向钻孔瓦斯抽采效果

为了考察黄白茨煤矿021205工作面下向钻孔抽采效果,从钻孔施工工艺、封孔工艺以及钻孔长度等方面考虑,选取021203工作面里段施工的上向钻孔抽采瓦斯效果作为参考。本文通过测定、收集、整理、分析021205工作面和021203工作面的瓦斯抽采数据,并得出021205工作面下向钻孔比021203工作面上向钻孔瓦斯抽采浓度衰减快,且衰减幅度大,021203工作面上向钻孔抽采效果优于021205工作面下向钻孔,并得出下向和上向钻孔瓦斯抽采浓度、流量等数据随时间变化的规律。     

Inline Spectroscopy-Based Optimization of Chemical Reactions Considering Dynamic Process Conditions

The demand for sustainable energy sources, like biomass, solar energy, hydro and wind power, is connected to challenges like energy storage and fluctuating energy supply. Regarding the second challenge, industry has to evolve their existing processes from steady state processes to dynamic ones. This work is concerned with the conception of an inline spectroscopy-based optimization routine for chemical reactions under dynamic process conditions, which implements the search for a well applicable optimization algorithm. The studied reaction to reach this goal is a nitroaldol condensation.