煤的油团聚化学动力学理论

对煤的油团聚形成过程－用煤粒与分散的液相桥间的碰撞来测定速率，描述油团聚过程的化学动力学，预言油团聚的形成属于二级反应。在建立模型和测定速率方面来评价预言的倾向性。由煤的批处理过程得出不同的操作影响，如液体油的用量、搅拌程度等有关动力学参数，通过实验基础了解来定性团聚过程的的动力学模型。     

神华煤高压釜加氢液化等温反应的动力学研究

在高压釜中对神华液化示范工程用煤进行了450℃等温加氢液化动力学研究,提出了液化反应网络,建立了相应的动力学模型,通过实验求出各反应速率常数.结果表明,在等温反应阶段,可按液化反应动力学性质将煤划分为易转化和难转化两种煤组分;易转化煤组分生成各产物的反应速率顺序为沥青烯组分＞油＞气态产物,其生成沥青烯组分的速率常数是难转化煤组分转化的12.56倍;反应后期沥青烯组分转化为油的速率是油产率增加的主要控制因素.     

神东煤不同显微组分加氢液化性能及转化规律

研究了450℃下神东煤不同煤岩显微组分的加氢液化性能，从动力学角度探讨了其转化规律．结果表明：神东煤镜质组和壳质组的转化速率为惰质组的近2．6倍，镜质组和壳质组生成油和沥青烯的速率为惰质组的近2．9倍．未反应煤中主要是惰质组，镜质组和壳质组转化为油及沥青烯的比例高于惰质组．     

油水界面张力和煤的变质程度对煤油团聚脱灰的影响

通过理论推导和试验证明，油水界面张力大的油对煤的选择性好，能提高精煤的脱灰率。变质程度深的煤可直接进行油团聚，而年轻煤则需加入醇类改善煤的表面性质，才能达到团聚的目的。     

依兰煤油煤浆流变特性的初步研究

在常压和30-70℃的条件下,采用旋转式粘度计测定了依兰煤油煤浆体系的表观粘度,考察了油煤浆体系的表观粘度随溶剂种类、煤颗粒直径、煤浆浓度、温度以及剪切速率等因素的变化规律,建立了实验条件下煤浆体系的流变方程。结果表明：依兰煤油煤浆体系的流变特性符合幂定律模型。     

系列药剂量分选超细粒煤试验研究

变化乳化药剂量进行超细粒煤的分选试验，贯穿运用3种细粒煤界面分选工艺方法；通过控制加药量，从少油量的泡沫浮选过渡到稍多油量的选择性疏水聚团，再逐渐增加油量，一直到大油量的油团聚，通过观察测量絮团大小，分析测定产物灰分、收率，寻找从小油量到大油量这整个过程所涉及的分选行为关系规律，此过程的研究对于细粒煤界面分选最佳条件的选择具有参考意义。     

艾丁褐煤 SO2-4/Fe2 O3温和催化液化动力学研究

为了研究艾丁褐煤液化反应动力学,通过对煤液化产物进行分级处理,得到SO24-/Fe2 O3催化艾丁褐煤温和液化动力学模型,通过 origin 软件回归出各反应速率常数及相应的表观活化能和指前因子,最后对褐煤温和液化分级反应工艺提出初步设想。结果表明,模型能够较好地模拟动力学试验结果;液化反应中沥青质向酚转化的活化能为267.62 kJ/ mol,该过程对温度较敏感;反应组分的主要转化为油和沥青质,分别占48%和37%;随反应时间的延长,由沥青质转化得到的油和酚的量逐渐增加,由反应组分转化得到的油和酚的量先增加后趋于恒定,在一定时间内,反应组分是直接转化成油和酚的主要来源;沥青质向油的转化是油增加的速率控制步骤,沥青质向酚的转化是酚增加的速率控制步骤,在煤液化工艺流程中,实行分级加氢液化有利于控制、提高油和酚产率。     

艾丁褐煤SO_4~(2-)/Fe_2O_3温和催化液化动力学研究

为了研究艾丁褐煤液化反应动力学,通过对煤液化产物进行分级处理,得到SO2-4/Fe2O3催化艾丁褐煤温和液化动力学模型,通过origin软件回归出各反应速率常数及相应的表观活化能和指前因子,最后对褐煤温和液化分级反应工艺提出初步设想。结果表明,模型能够较好地模拟动力学试验结果;液化反应中沥青质向酚转化的活化能为267.62 k J/mol,该过程对温度较敏感;反应组分的主要转化为油和沥青质,分别占48%和37%;随反应时间的延长,由沥青质转化得到的油和酚的量逐渐增加,由反应组分转化得到的油和酚的量先增加后趋于恒定,在一定时间内,反应组分是直接转化成油和酚的主要来源;沥青质向油的转化是油增加的速率控制步骤,沥青质向酚的转化是酚增加的速率控制步骤,在煤液化工艺流程中,实行分级加氢液化有利于控制、提高油和酚产率。     

热分析在煤燃烧和热解及气化动力学研究中的应用

论述了煤的燃烧、热解、气化反应动力学的常用的单一升温速率法、多重扫描速率法、动力学补偿效应以及分布活化能动力学模型等热分析研究方法，分析了现用热分析动力学方法的局限性；并对反应控制热分析、微热分析技术、微波热分析以及热分析技术与其他分析技术的联用，热分析技术间的联用等热分析新技术在煤的燃烧、热解、气化反应动力学研究上的应用进行了展望．     

枣泉煤分子模型构建及热解的分子模拟

以宁东枣泉煤为研究对象，使用工业分析、元素分析、X射线光电子能谱、¹³C固体核磁等表征手段和计算机辅助，构建获得枣泉煤大分子结构模型。经过分子动力学退火动力学模拟和几何结构全优化，与初始结构相比键长、键角发生明显改变，立体构型显著，芳香层片之间近似平行的排列方式明显。获得的傅里叶变换红外和¹³C固体核磁的实验与计算谱图总体吻合较好，进一步证明了构建模型的合理性。使用反应分子动力学方法模拟枣泉煤的热解过程，考察不同热解终温和升温速率对热解行为的影响。结果发现，随着温度的升高，反应速率逐渐加快。不同升温速率对枣泉煤热解过程中气体的产生有显著影响。在动力学模拟中大多产生C₁₅以下的碎片，大分子的种类则并不多。随着升温速率的增加，气、液、固三相产物整体上都呈现下降的趋势。此外，还根据反应分子动力学模拟结果追踪了热解过程中CO₂的形成机理，获得了三种不同的CO₂形成路径。     

Investigation of kinetics of agglomerate growth in oil agglomeration process

In this study, the kinetics of agglomerate growth in a batch oil agglomeration process has been studied using bituminous coal. The effect of operating variables such as kerosene concentration, pulp density and speed of agitation on the agglomeration process was investigated. It has been found that the second-order kinetic equation describes the growth of agglomerates adequately. The growth of the agglomerates in the oil agglomeration process shows a self-preserving growth. Using this, a characteristic curve has been developed. For the prediction of the size distribution of the agglomerates, the d₅₀ values of the agglomerates must be known. Therefore, a model has been developed by using the kinetic equation for estimation of d₅₀ values of agglomerates for this coal. It was shown that the size distribution of the agglomerates for any levels of the process variables studied can be predicted using the equation of characteristic curve and d₅₀ values. Knowledge obtained from this study will be helpful for technological advancement of this kind of study.     

Kinetic study of agglomerate growth in coal-oil agglomeration process

The kinetics have been studied of agglomerate growth in coal-oil agglomeration, an emerging process for the treatment of coal fines. The growth of agglomerates in the batch process follows second-order kinetics for the two types of coals examined. The second-order kinetic equation with two constants describes the growth kinetics adequately. The effects of operating variables, such as furnace oil dosage, degree of agitation and feed size, on these two constants are considered. The significance of the work in modelling the process is discussed.     

细嵌布高硫煤深度降灰脱硫的经济评价

采用先进的煤炭深度脱硫技术对细嵌布的四川磨心坡煤进行精选,得到满意的降硫和脱灰效果。这种技术的关键是煤炭的超细磨,先进的分选技术和细粒煤的脱水,首先对原料煤进行煤质和岩相分析,而后进行超细磨和深度分选研究,用先进的煤炭物理深度分选技术可将煤的灰分降低到６％,硫分降低到１．２％以下,可燃体固收率为６４％。常规浮选配合部分浮选原料直接深加工可以获得综合降灰和脱硫效果;常规浮选配合尾煤深加工也可以获得综     

Modified oil agglomeration process for coal beneficiation. I. Mineral matter liberation by fine grinding with the szego mill

The spherical oil agglomeration technique developed at the National Research Council of Canada (NRC) is an excellent method for cleaning and recovering very small coal particles. The finely ground coal, dispersed in water, is contacted with oil by intensive mixing. The hydrophobic coal particles collect onto the oil droplets to form the agglomerates which are then separated from the aqueous phase by screening. A Szego Mill was used to wet grind Minto (New Brunswick) coal which was then subjected to laboratory agglomeration by the NRC procedure. A comparison with coal ground in a ball mill indicated superior ash rejection. The improved performance is attributed to better mineral liberation which is enhanced by the more flaky particles produced in the Szego Mill.     

Investigations of Coal Purification by Selective Oil Agglomeration

Abstract

Selective oil agglomeration is used as a physical method to reduce impurities in coal fines. The efficiency of the process depends on many factors. The effects of many operating variables have been examined for different coals and tailings, and the efficiency of the process in coal cleaning has been demonstrated. This study summarizes the work carried out in order to develop coal oil agglomeration as a technique for a cleaner coal-water-fuel slurry production.     

应用油团聚(SGHFF)技术高效脱除煤炭中黄铁矿硫的研究

介绍了应用油团聚（ＳＧＨＦＦ） 技术高效脱除煤炭中硫的过程， 探讨了煤炭粉碎粒度及水量对煤炭中硫的脱除率的影响。实验结果表明， 硫含量为２．１６ ％ 的烟煤， 脱除率可达到６７ ％ 。     

Flotation of Fine Gold Particles by the Assistance of Coal-Oil Agglomerates

This paper describes the use of coal-oil agglomerates in flotation to increase the gold recovery from an ore containing fine gold particles. The effects of operating parameters on gold flotation recovery such as oil type, particle size of agglomerating material, agglomerate/ore and oil/ore ratios were investigated. The studies showed that petroleum oils are more effective than vegetable oils in oil agglomeration of Kozlu coal and coal-oil assisted gold flotation. Gold recovery can be increased using a higher amount of agglomerates in the process; however, gold grade of the flotation concentrates is reduced significantly. The use of bridging oil at high concentrations in the agglomeration process provides high-grade gold concentrates, but lower recoveries. The utilization of coarser coal particles in the coal-oil agglomeration stage leads to higher selectivity and recovery values for gold particles.     

Modified oil agglomeration process for coal beneficiation. II. Simultaneous grinding and oil agglomeration

The spherical oil agglomeration technique developed at the National Research Council of Canada (NRC) for cleaning and recovering very small coal particles can be simplified by combining the grinding and agglomeration steps such that the excess energy expended while grinding is used for mixing and agglomeration. Experiments with the Szego mill, which is able to handle the pasty agglomerates, have shown that ash removal from Minto (New Brunswick) coal is comparable to that obtained with the usual NRC process. The generally flaky products of the Szego mill allow better ash liberation, and the presence of oil enhances grinding performance. Favourable oil-coal-water ratios have been established. Major savings in equipment and operating costs are possible with the combined process.     

Maceral and microlithotype response to oil agglomeration for selected eastern Kentucky high volatile A bituminous coals

The petrographic response of three high volatile A bituminous, petrographically complex eastern Kentucky coals to oil agglomeration was tested using several agglomerating oils. Four oils, hexane, fuel oil, kerosene, and pentane, were tested on the Leatherwood coal, the intermediate coal in the rank series. The testing scheme for the other two coals consisted of using only the hexane and fuel oil with a lesser number of tests than on the initial coal tested. Coal rank emerges as a significant parameter in the behavior of the coals. Particularly for the hexane agglomeration, the coals had quite different behaviors, with the highest-rank coal having greater clean-coal yield at lower oil concentrations than the other two coals. The two high-rank coals exhibit similar yield curves for fuel oil, with the lower-rank coal achieving the yield of the latter coals at higher oil concentrations. The role of the organic petrography and the mineral matter, both closely associated with the macerals in carbominerite microlithotypes and organic-dominant microlithotypes, is an obvious complicating factor. A tendency for duroclarite, the vitrinite-rich trimaceral microlithotype, to partition between vitrinite-rich varieties in the concentrate and vitrinite-poor varieties in the tails was noted at higher oil concentrations for all three coals.     

微细粒技术在洁净煤技术中的作用和地位

从煤加工利用对颗粒粒度及其分布的要求，解离度对超纯煤的制备以及煤炭组分工业化分离的影响等方面论述了微细粒技术在洁净煤技术中的作用和地位。研究表明煤的粒度及其分布对水煤浆制备及其利用，燃烧等有极其重要的影响；