The basic study of methanol to gasoline in a pilot-scale fluidized bed reactor

A fluidized bed reactor, used for methanol to gasoline (MTG), was designed followed the theory of gas–solid two-phase flow, and the effects of some factors, such as temperature, space velocity and the regeneration process, on the performance of MTG catalyst were systematically examined. The results show that: heat and mass transfer can be effectively conducted in the fluidized bed reactor; with the reaction temperature was increased, the methanol conversion rate maintained at 100% and the yield of gasoline gradually increased, then reached its highest value of 25.22% at 410 °C, after that it began to decline; and the C₅ aromatics content increased with temperature and reached its maximum value of 49.86% at 430 °C. With the weight space velocity was increased, the yield of gasoline firstly increased and then decreased, while the C₅ aromatics content was decreased; In addition, the effect of inner-regenerated process for used catalyst is very good. Low temperature can help to generate lighter olefin polymer, the higher extent of hydrogen transfer and cracking of large molecules at middle temperature, the carbon deposition reaction and aromatization reaction of low carbon olefin occurred at higher temperature, all of these contributed the above mentioned rules. While the weight space velocity acts on the performance of catalyst mainly via influencing the contact time and the carbon deposition reaction.     

Light absorption distribution of prostate tissue irradiated by diffusing light source

Determination of light absorption distribution in the prostate tissue irradiated by diffusing light source is important for the treatment planning.In this paper,a three-dimensional(3D)optical model of human prostate is developed,and the light absorption distribution in the prostate tissue is estimated by Monte Carlo simulation method.Light distribution patterns including 3D distributions in the tissue model irradiated by two diffusing light sources are obtained and compared.Also,the impacts of length and energy of cylinder diffusing light source on the irradiance volume are demonstrated.Those results will be significant for the nondestructive qualitative assessments of photodosimetry in biomedical phototherapy.     

一种基于细节特征的MCA多聚焦图像融合方法

针对多聚焦图像的特点,提出一种形态分量分析分解下的基于细节特征的图像融合方法。该方法首先将原图像分解成光滑部分和纹理部分。其次,为了充分体现多聚焦的纹理特征,在光滑部分采用微分算子定义的细节特征作为融合规则。最后,在纹理部分采用选择绝对值作为纹理部分的活跃程度的度量,绝对值最大法作为其融合规则。实验结果表明,该算法得到的融合图像优于其他多聚焦融合的算法。     

Component analysis and risk assessment of biogas slurry from biogas plants

Massive amounts of biogas slurry are produced due to the development of biogas plants. The pollution features and the risk of biogas slurry were fully evaluated in this work. Thirty-one biogas slurry samples were collected from sixteen different cities and five different raw materials biogas plants (e.g. cattle manure, swine manure, straw-manure mixture, kitchen waste and chicken manure). The chemical oxygen demand (COD), ammonia nitrogen (NH₄⁺ - N), anions (e.g. Cl^-,SO₄^2-, NO₃^- and PO₄^-3), antibiotics (e.g. sulphonamides, quinolones, β₂-receptor agonists, macrolides, tetracyclines and crystal violet) and heavy metals (e.g. Cu, Cd, As, Cr, Hg, Zn and Pb) contents from these biogas slurry samples were systematically investigated. On this basis, risk assessment of biogas slurry was also performed. The concentrations of COD, NH₄⁺ and PO₄^-3 in biogas slurry samples with chicken manure as raw material were significantly higher than those of other raw materials. Therefore, the biogas slurry from chicken manure raw material demonstrated the most serious eutrophication threat. The antibiotic contents in biogas slurry samples from swine manure were the highest among five raw materials, mostly sulphonamides, quinolones and tetracyclines. Biogas slurry revealed particularly serious arsenic contamination and moderate potential ecological risk. The quadratic polynomial stepwise regression model can quantitatively describe the correlation among NH₄⁺ - N, PO₄^-3 and heavy metals concentration of biogas slurry. This work demonstrated a universal potential threat from biogas slurry that can provide supporting data and theoretical basis for harmless treatment and reuse of biogas slurry.     

Genomic and metabolomic analysis of Bacillus licheniformis with enhanced poly-γ-glutamic acid production through atmospheric and room temperature plasma mutagenesis

Poly-γ-glutamic acid is an extracellular polymeric substance with various applications owing to its valuable properties of biodegradability, flocculating activity, water solubility, and nontoxicity. However, the ability of natural strains to produce poly-γ-glutamic acid is low. Atmospheric and room temperature plasma was applied in this study to conduct mutation breeding of Bacillus licheniformis CGMCC 2876, and a mutant strain M32 with an 11% increase in poly-γ-glutamic acid was obtained. Genome resequencing analysis identified 7 nonsynonymous mutations of ppsC encoding lipopeptide synthetase associated with poly-γ-glutamic acid metabolic pathways. From molecular docking, more binding sites and higher binding energy were speculated between the mutated plipastatin synthase subunit C and glutamate, which might contribute to the higher poly-γ-glutamic acid production. Moreover, the metabolic mechanism analysis revealed that the upregulated amino acids of M32 provided substrates for glutamate and promoted the conversion between L- and D-glutamate acids. In addition, the glycolytic pathway is enhanced, leading to a better capacity for using glucose. The maximum poly-γ-glutamic acid yield of 14.08 g·L^–1 was finally reached with 30 g·L^–1 glutamate.     

新型钛系聚酯催化剂的催化性能研究

合成了一种应用型钛系聚酯(PET)催化剂TY,考察了在PET合成中催化剂TY对酯化时间、缩聚时间、产品性能等的影响;并与传统锑系催化剂三氧化二锑(Sb2O3)的性能进行了对比。结果表明:钛系催化剂TY不仅能缩短酯化时间和聚合时间,而且催化剂用量少、催化活性高;钛系催化剂TY用量为20~25μg/g时,催化活性最佳,催化剂TY 20~25μg/g的催化活性相当于Sb2O3350~400μg/g的催化活性;钛系催化剂合成的PET切片的特性黏数达0.683 d L/g,与锑系PET相比,色相L值提高达71.68,b值相差不大,端羧基含量及二甘醇含量降低,结晶行为及热性能相当;钛系催化剂TY适合无重金属聚酯的工业生产,工业应用性强。     

基于AIFCS工业配电系统开关柜设计

在分层分布式控制的基础上,充分利用触摸屏电脑和基于人工智能AI(Artificial Intelligence)系列仪表的现场总线技术AIFCS(Artificial Intelligence Fieldbus Control System)的优点,重点进行了智能开关柜的整体设计、各功能单元设计、保护功能设计、抗干扰设计和监控软件设计等方法研究。样机实现了在模拟工业配电环境中通过RS-485接口控制三相电机、风扇等常用电器设备。智能开关柜能满足工业控制系统分散化、网络化、智能化的要求。     

定向判别分析新算法及其在沉积化学中的应用

介绍了处理多元有序数据的定向判别分析新方法原理、建模流程、应用流程及其在沉积化学中的应用实例。这种判别分析将分类建模与判别归类分开,求解与专业知识结合。新方法用多组或逐步判别分析对多元有序数据建模,应用时根据应用领域的知识对样本归属作初步定向,然后选择模型的相关局部进行判别归类,从而实现有序判别。这种方法用于解决由于时间序列多元数据周期性造成的样本分类颠倒问题。在塔里木盆地沉积岩时间序列化学数据的应用实例中,解决了石油井下地层预测和归类问题。