Concept design of a novel reformer producing hydrogen for internal combustion engines using fuel decomposition method: Performance evaluation of coated monolith suitable for on-board applications

Hydrogen addition effectively reduces the fuel consumption of spark ignition engines. We propose a new on-board reformer that produces hydrogen at high concentrations and enables multi-mode operations. For the proposed reformer, we employ a catalytic fuel decomposition reaction via a commercial NiO–CaAl₂O₄ catalyst. We explore the physical and chemical aspects of the reforming process using a fixed bed micro-reactor operating at temperatures of 550–700 °C. During reduction, methane is decomposed to form hydrogen and carbon. Carbon formation is critical to hydrogen production, and free space for carbon growth is essential at low temperatures (≤600 °C). We define a new accumulated conversion ratio that quantitatively measures highly transient catalytic decomposition. The free space of the coated monolith clearly aided low-temperature decomposition with negligible pressure drop. The coated substrate is therefore suitable for on-board applications considering that our reformer concept also utilizes the catalytic fuel decomposition reaction.     

Correlation of hydrogen generation and optical emission properties of plasma in water photolysis on perovskite photocatalysts

Photocatalytic decomposition of organic materials-contained aqueous solution is assessed using a plasma discharged into the liquid directly. The correlation of H₂ generation and optical emission spectroscopy is discussed in terms of photocatalytic H₂ production using plasma and photocatalysts. Variations of the active species are evaluated according to the conditions of the plasma in the liquid phase. The optical emission spectra vary according to the plasma discharging conditions in the liquid phase. The intensities of the OH· peaks at 309 nm increase with the addition of ethanol or acetaldehyde in water. The highest intensities and rate of H₂ evolution are observed at a 10% acetaldehyde concentration in the aqueous solution. The rates of H₂ evolution in the ethanol or acetaldehyde solution correspond to the concentration of OH· in the solution. The photocatalytic reaction using liquid plasma generates hydrogen at the same time as the decomposition of the organic chemicals. The rate of hydrogen evolution in aqueous solutions containing the organic chemicals is higher than that in pure water. This is because hydrogen is further generated due to hydrogen generation by photolysis of the organic chemicals. CaTiO₃ perovskite photocatalyst shows better photocatalytic activity than TiO₂. Ni loading on the photocatalyst lead to an increase in H₂ production.     

铝空气电池废电解液生产超细氢氧化铝工艺条件研究

以铝空气电池的废电解液为原料, 采用种分法生产氢氧化铝。结果表明, 当种分时间为24 h、晶种系数为2%~4%时, 可生产出超细氢氧化铝, 且粒径分布宽度窄, 阻燃性能优良, 达到HG/T4530-2013氢氧化铝阻燃剂ATH-1一等品的要求。     

两类复合无机相变储热材料高温热稳定性和安全性研究

以适合工业储热的复合无机相变储热材料硝酸盐（KNO₃、NaNO₃）和碳酸盐（Li₂CO₃、K₂CO₃、Na₂CO₃和CaCO₃）为相变组分，研究了4种不同配比硝酸盐相变组分和6种不同配比碳酸盐相变组分的热性能（熔点、潜热）差异，分别优选出一种熔融盐相变组分配比。利用多孔载体吸附原理，制备出两种最佳配比的复合熔融盐类储热材料，分析了储热材料在不同介质气氛中（Ar和air）分解难易程度，TG-DSC-MS联用测试的高温热分解产物表明，复合硝酸盐类储热材料在中温（300℃）储热时，物理化学性能稳定，安全性较好，但在高温（500℃以上）时易分解成NO和NO₂，且air气氛中更易生成有毒气体；而复合碳酸盐类储热材料在air中比在Ar中更易生成CO而影响储热过程中的安全性。     

基于VMD与时间序列分析的滚动轴承故障特征提取方法

为了在非线性、非平稳的滚动轴承故障振动信号中有效提取出敏感的故障特征,提出了基于变分模态分解(VMD)与时间序列分析相结合的特征提取方法。首先通过VMD将原始信号分解为不同预设尺度的本征模态分量(IMF),对各个IMF分量建立时间序列预测模型,通过叠加重构得到最终的预测模型,比较评价指标确定最优参数的选取。最后,通过仿真信号与滚动轴承实际故障数据分析,并与经验模式分解(EMD)进行对比,结果表明该方法能够有效的提取到故障特征频率。     

基于VMD瞬时能量与GA- RBF的滚动轴承故障诊断

针对滚动轴承早期故障的有效识别,提出了一种基于VMD瞬时能量与GA优化的RBF神经网络的滚动轴承故障诊断方法,可以有效对滚动故障做出诊断。首先,VMD将滚动轴承振动信号进行分解成合适数目的本证模态函数;其次,计算本证模态函数分量的瞬时能量并组成特征向量;最后,将特征向量输入到GA优化的RBF神经网络实现轴承故障识别。通过滚动轴承故障诊断实验对该方法进行验证。结果表明,该方法识别滚动轴承故障的准确率为96.43%,较默认参数的RBF神经网络和EEMD瞬时能量与GA-RBF神经网络有明显的提高,证明了所提方法的可行性。     

Optimal design and operation of ammonia decomposition reactors

The design and steady-state operation of a packed bed reactor with tubular geometry is optimized. Direct optimal control methods are used. Two objective functions are considered: (i) minimization of the ammonia mass fraction at reactor outlet and (ii) minimization of the heat flux necessary to reach a predefined value of the ammonia mass fraction at reactor outlet. The optimization process is performed by using different controls, that is, the space distributions of (1) tube wall temperature T_w , (2) circular tube diameter D_tube , and (3) diameter d_p of the catalyst spherical particles. Results for the first objective function are as follows. The optimal distribution of T_w along the reactor consists of a constant temperature or a U-shaped space temperature distribution, respectively, depending on the allowed range of variation of T_w . The optimal space distribution of D_tube (or, in other words, the shape of the reactor tube) depends of T_w . For smaller values of T_w the tube is narrower at inlet and larger at outlet while the reverse situation happens for larger values of T_w . For lower T_w values, particles with smaller diameter d_p are placed at reactor inlet while when higher values of T_w are considered, particles with larger d_p are placed at reactor inlet. When both D_tube and d_p are used as controls, the optimization results are generally different from the results obtained from one-control optimization. Results for the second objective function are as follows. The optimal space distribution of T_w starts with high values at reactor inlet. Next, the temperature decreases abruptly towards a minimum (which is lower for longer tubes). Finally, the temperature increases smoothly towards a maximum near the reactor outlet. The required heat flux slightly decreases by increasing the tube length. The optimal D_tube ranges between its maximum allowed value (at reactor inlet) and its minimum allowed value (at reactor outlet). The best performance is obtained for catalyst particles of the smallest allowed diameter.     

基于 MPDE-EEMD 及自适应共振解调的轴承故障特征提取方法

针对滚动轴承振动信号具有非线性、非平稳性和非高斯性,并且故障特征往往淹没于系统噪声之中而难于识别的问题, 提出了以多种群差分进化(multiple population differential evolution, MPDE) 算法来改进集合经验模式分解( ensemble empirical mode decomposition, EEMD) 的 MPDE-EEMD 消噪方法,并与自适应共振解调技术( adaptive resonance demodulation technique, ARDT)相结合实现故障特征提取。 首先,为了解决 EEMD 中加入参数依靠人工选择且难以准确获取的问题,建立极值点分布 特性评价函数,利用 MPDE 来寻优获取最佳白噪声幅值,实现 EEMD 自适应分解。 然后,采用峭度与相关性相结合的准则对分 解后的 IMF 分量进行自动筛选,将满足条件的有效信号进行重构,实现对原始振动信号的降噪处理。 最后,采用 ARDT 自动确 定对消噪信号进行带通滤波的带宽和中心频率,再通过包络解调提取出滤波信号的特征频率。 将轴承仿真故障信号与实际故 障信号用于算法的验证,结果表明 MPDE-EEMD+ARDT 能有效提取出轴承故障特征。     

含锂工业废料制备电池级碳酸锂工艺研究

随着电池行业的快速发展,电池级碳酸锂的市场需求越来越大。以某公司生产电池的含锂工业废料为原料,采用碳化分解法对其进行提纯除杂,并进行多次滤液滤饼循环,最终得到符合电池级碳酸锂行业标准的产品。碳化过程优化反应条件：固液质量体积比（g/mL）为1∶50,搅拌转速为300 r/min,二氧化碳流速为10 L/min,反应温度为20 ℃,反应时间为60 min。热分解过程优化反应条件：搅拌转速为300 r/min,反应温度为95 ℃,反应时间为60 min。将碳化分解制备的碳酸锂滤饼和滤液进行5次循环反应,即可得到符合电池级碳酸锂行业标准的产品。所得碳酸锂产品纯度达到99.71%,而且其中镁、钙、钾质量分数分别降低至0.005 3%、0.005 0%、0.000 9%,产品收率保持在55%以上,产品形貌呈棒状、大小均匀、分散性良好。     

Ammonia decomposition kinetics over LiOH-promoted, α-Al2O3-supported Ru catalyst

A LiOH-promoted Ru-based catalyst was recently reported to have a high TOF of 17.7 s⁻¹ at 623 K, compared to 2.7 s⁻¹ for an un-promoted Ru-based catalyst, and has been reproduced for this study to develop further understanding of the catalyst activity under a range of conditions. The kinetic values were calculated using a Temkin-Pyzhev-like power law rate expression model. Reaction orders, pre-exponential factors (A) and activation energies (E) were calculated for two temperature ranges, 623–748 K, and 748–873 K. The TOF of this catalyst at 623 K is not similar to that previously reported, being only 1.6 s⁻¹ in this study. A follow-up CFD analysis supports the fact that the kinetic model effectively describes performance of the catalyst at a range of temperatures and pressures, and can be used in the future on similar catalysts. H₂ partial pressure has an inhibitory effect on the rate of decomposition of NH₃ at all temperatures, not just near or below 673 K as previously proposed in the literature, however equilibrium decomposition is still possible with sufficient catalyst loading.