粉煤灰物理序参量的系统化

近年来,作者等通过系列的粉煤灰特征化和系统化基础研究,形成了粉煤灰物理序参量系统。这个系统的实用性是能够提供大量有序信息,故称之为“脉搏系统”。本文介绍了粉煤灰物理序参量系统的构建。此系列的应用有助于粉煤灰资源开发及有利于粉煤灰质量从无序状态到相对稳定和有序状态的发展。     

利用煤层气发展山西合成油工业探讨

介绍了国外利用天然气生产油口的生产工艺，探讨了山西省利用丰富的煤层气资源发展合成油的可能性和优势，并提出了相应的发展建议。     

Graft copolymerization of styrene and acrylonitrile onto EPDM

Acrylonitrile–EPDM–styrene (AES) graft copolymers were synthesized by solution graft polymerization of styrene (St) and acrylonitrile (AN) onto EPDM in an n‐hexane/benzene solvent with benzoyl peroxide (BPO) as an initiator. The structure changes were studied by an FTIR spectrophotometer. The grafting parameters were calculated gravimetrically. The influence of the polymerization conditions, such as the reaction time, concentration of the initiator, EPDM content, and weight ratio of St/AN, on the structure of the products was investigated. It was found that a proper initiator concentration and EPDM content will give a high grafting ratio of the AES resin. The thermal property of the copolymer was studied using programmed thermogravimetric analysis (TGA). The results showed that the copolymer has a better heat‐resistant property than that of ABS, especially for the initial decomposition temperature (T_in) and the maximum weight loss rate temperature (T_max). Also, the mechanism of the graft reaction was discussed. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 86: 428–432, 2002     

脱乙烷系统参数优化

吉化300kt/a乙烯装置脱乙烷系统采用德国Linde公司双塔双压前脱乙烷技术，自1996年开始以来，运行良好，通过工程技术人员近两年的探索实践，对其工艺参数做了较大的优化调整，取得了较好的经济效益。     

Artificial neural network approaches on composition-property relationships of jet fuels based on GC-MS

The relationships of composition-properties of 80 jet fuels concerning chemical compositions and several specification properties including density, flashpoint, freezing point, aniline point and net heat of combustion were studied. The chemical compositions of the jet fuels were determined by GC-MS, and grouped into eight classes of hydrocarbon compounds, including n-paraffins, isoparaffins, monocyclopraffins, dicyclopraffins, alkylbenzens, naphthalenes, tetralins, hydroaromatics. Several quantitative composition-property relationships were developed with three artificial neural network (ANN) approaches, including single-layer feedforward neural network (SLFNN), multiple layer feedforward neural network (MLFNN) and general regressed neural network (GRNN). It was found that SLFNNs are adequate to predict density, freezing point and net heat of combustion, while MLFNNs produce better results as far as the flash point and aniline point prediction are concerned. Comparisons with the multiple linear regression (MLR) correlations reported and the standard ASTM methods showed that ANN approaches of composition-property relationships are significant improvement on MLR correlations, and are comparable to the standard ASTM methods.     

强化单螺杆挤出机内层流混合的方法

综述了单螺杆挤出机内聚合物熔体层流混合机理的研究进展，对提高混合的措施进行了分析总结，指出了进一步强化混合效果的方法。     

丙二醇单甲醚丙酸酯合成体系的气相色谱分析

自行研制了氰乙基(25%,质量分数)甲基硅橡胶(XE-60)石英毛细管色谱柱。建立了对含游离酸的丙二醇单甲醚丙酸酯的色谱分析方法。该法具有分离效果好,分析速度快的优点。     

磺化聚芳醚酮酮催化合成顺丁烯二酸二丁酯

以交联的聚芳醚酮酮和20％发烟硫酸合成了磺化聚芳醚酮酮树脂，并用于顺丁烯二酸酐和正丁醇的催化酯化，最佳条件：醇：酐为2．5：1（物质的量比）；催化剂用量为2．5g，反应温度140－150℃，反应时间7h ，酯化率96．4％。气相色谱分析结果：顺丁烯二酸二丁酯的含量达99．96％，催化剂易回收且可重复使用。     

单螺杆混沌挤出过程周期性行为数值模拟

建立了混沌单螺杆挤出机计量段物理和数学模型。定义了更合理的边界条件,采用Carreau本构方程,采用有限体积方法对聚合物熔体在螺槽内流动的周期性效应进行了数值模拟分析。得到了不同位置的速度分布细节以及流体示踪粒子的行为轨迹。发现螺槽内速度分布表现出周期性和对称性的变化,揭示了同宿点及椭圆点存在及位置不变性,为进一步分析流体质点在相空间的动力学行为奠定了基础。     

高冰镍硫酸浸出液萃取净化工艺流程的经济分析和最优化

本文以我国水法冶金的实际应用课题为对象,用系统分析的手法对高冰镍硫酸浸出液以5709和P507为萃取剂的两种萃取净化流程作了技术经济分析和比较.本文基于工艺实验建立的萃取与反萃模型,作为过程模拟和设计的基础.最后确定出该流程的最优操作参数和各单元操作的费用估算.