Prediction of Flooding in Packed Liquid-Liquid and High-Pressure Extraction Columns Using a Gaussian Process

Reliable prediction of flooding conditions is needed for sizing and operating packed extraction columns. Due to the complex interplay of physicochemical properties, operational parameters and the packing-specific properties, it is challenging to develop accurate semi-empirical or rigorous models with a high validity range. State of the art models may therefore fail to predict flooding accurately. To overcome this problem, a data-driven model based on Gaussian processes is developed to predict flooding for packed liquid-liquid and high-pressure extraction columns. The optimized Gaussian process for the liquid-liquid extraction column results in an average absolute relative error (AARE) of 15.23 %, whereas the algorithm for the high-pressure extraction column results in an AARE of 13.68 %. Both algorithms can predict flooding curves for different packing geometries and chemical systems precisely.     

Headspace fingerprinting approach to identify the major pathway influencing volatile patterns of vinasse-cured duck processed by high pressure,as well as its impact on physicochemical and sensory attributes

As a decisive attribute, flavour could be influenced by HP treatments through multiple physical and chemical pathways within the high pressure (HP)-assisted meat curing process. This investigation aimed to identify the major pathway influencing volatile flavour patterns of two representative vinasse-cured duck (VCD) products with HP treatments (150–300 MPa/15 min), including wet and dry types, by employing headspace fingerprinting as an untargeted approach. Results suggested that HP treatments greatly lowered moisture contents and increased Warner-Bratzler shear force and thiobarbituric acid reactive substances of the cured samples. According to multivariate models, the volatile flavour patterns of the HP-processed VCD could be clearly separated from the unprocessed samples, but the VCD pressurised at different intensities represented similar volatile fingerprinting, which was validated by e-nose analysis. The discriminant analysis (OPLS-DA) model outlined vinasse-derived ethanol, acetic acid, 3-methyl-1-butanol, 2-methyl-1-butanol, phenethyl alcohol and 2-methyl-3-octanone as the major discriminant aromas across the unpressurised and pressurised samples.     

燃气热水器在无回水管水路中实现零冷水的方案研究

本文分析了燃气热水器行业针对无回水管水路系统实现零冷水功能的现有技术方案,指出现有技术方案存在的一些缺陷,并结合试验研究,对无回水管水路系统提出了一套全新的实现零冷水功能的技术解决方案。     

动态高压微射流处理对方竹笋膳食纤维理化及结构特性的影响

以方竹笋中提取的膳食纤维为研究对象，采用动态高压微射流（dynamic high-pressure micro-fluidization, DHPM）在不同压力条件（0，50，100，150，200 MPa）下进行处理，探究其对竹笋膳食纤维（bamboo shoots dietary fiber, BSDF）理化和结构特性的影响。结果表明，随着处理压力的增大，BSDF粒径先增大后减小，当处理压力为150 MPa时，粒径最小，为（370±11） nm，此条件下BSDF的持水力、持油力和膨胀力达到最大，较对照组分别提高了47.74%，50.54%，61.27%，且差异显著（P<0.05）。红外光谱分析表明DHPM处理不会改变BSDF的官能团，但会使BSDF内部的部分氢键断裂和半纤维素、木质素等发生降解；X射线衍射和热重分析表明DHPM处理不会引起BSDF的晶体结构改变，但晶体有序度会下降，进而导致其热稳定性降低；微观结构分析显示DHPM处理会使BSDF颗粒尺寸减小、表面粗糙、组织松散，且当处理压力为200 MPa时，颗粒发生团聚。综上，DHPM可以有效改善BSDF的理化性质，在膳食纤维改性方面具有一定的应用价值。     

电厂回热系统优化运行

本文分析了高压加热器不能正确投入运行的原因，并提出了相应的改进和优化措施。     

用红外热象技术研究有凸台热源倾斜板的散热

本文介绍红外热象技术在工程热物理研究中某些应用的探索。作为实例，通过热象技术，实验研究了具有水平凸台离散热源的倾斜板的散热，在研究它的自然对流换热部份结合利用激光全息干涉技术。此间着重于分析倾斜角对散热的影响。     

多变量系统辨识在电加热炉系统中的研究

介绍多变量系统辨识在电加热炉系统中的应用。在确定合适的采样周期和输入信号后，获得了可供辨识的输入输出数据，并利用Guidorzi法离线辨识出模型的结构。为了克服有色噪声的影响，在辨识过程中用Ⅳ（Instrumental Variable)法估计出模型的参数。通过对残差的白性检验，验证了所建立模型的可靠性。最后，对Ⅳ法和RLS（Recursive Least Square)不的辨识精度进行了比较。     

300MW机组高压加热器结构特点

简要介绍了哈锅300MW机组高压加热器发展概况及给水入口管端、过热蒸气冷却段出口部、疏水冷却段入口部、上级疏水入口等部件的结构特点。     

高压水射流技术粉碎原盐的研究

以原盐为被粉碎研究对象,通过对高压水射流粉碎原盐形貌的观察和成分分析、高压水射流原盐粉碎性能分析,以及高压水射流粉碎原盐各影响因素的正交分析,研究表明高压水射流粉碎技术对原盐具有良好的解理性且粉碎效率高、耗能低。各因素对原盐粉碎效果的影响顺序为:射流压力卤水喷嘴直径、料液混合喷嘴直径、靶面形状。     

如何延长高压液相色谱柱的使用寿命

分析了液相色谱柱失效的诸多现象和原因，并论述了极性溶剂冲洗法等一些使色谱柱恢复活性的方法。