液化石油气槽车泄漏处置专用接头套组的应用探讨

针对消防救援车辆缺乏专业堵漏和倒罐装备、应急处置受限等问题,研究采用专用注压接头套组与消防车配合,通过向事故槽车阀门注水加压或惰性气体的方式实施辅助堵漏,能够实现因地制宜、快速有效地解决现场液化石油气大量泄漏的问题,降低事故危害。     

应急修复耦合资源回收的实践-以一起化工企业突发环境事件为例

通过东莞市一起铜氨蚀刻液泄漏引致突发环境事件的应急处理过程,介绍了污染控制和应急修复技术的应用情况,通过将高浓含氨污水蒸发制取NH4Cl产品,以及将污水处理至优于《地表水环境质量标准》（GB3838-2002）之Ⅰ类水质要求,作为我国首例应急修复耦合资源回收制取化工产品的成功案例,为化工类企业突发环境事件的应急处理提供决策参考.     

锅炉过热器爆漏原因的统计分析和预防措施

以100余起公开报道的锅炉过热器爆漏事故案例进行统计分析为基础,将引起过热器爆漏的直接原因归纳为长期超温、短期超温、腐蚀、磨损和焊接缺陷,对产生事故的机理和主要原因进行了探讨和归类,认为运行管理不当是造成过热器爆漏的最重要方面。分析并提出了设计、安装、制造、检修和运行管理过程中对爆漏风险贡献最大的各单因素及其成因。针对造成爆漏的根本原因提出了预防措施,为锅炉的安全运行和合理检修提供了科学依据。     

印染废水RO浓水水质分析

以江苏某印染废水处理厂反渗透（RO）浓水为研究对象,采用多种分析手段分析了RO浓水的水质特征.首先采用IC和ICP-MS对水中的无机离子进行了定性和定量分析,采用GC-MS对废水中的半挥发性有机物进行定性和定量分析.结果表明,RO浓水中无机离子以Na⁺、Cl^-和SO₄^2-为主,半挥发性有机物邻苯二甲酸二（2-乙基己）酯（DEHP）为主要成分,其浓度为1.452mg/L.为分析RO浓水中的溶解性有机物（DOM）特征,进一步采用超滤膜分子量分级法和树脂亲疏水分离技术对废水中的DOM进行分离解析,分析了不同组分的溶解性有机碳（DOC）、UV₂₅₄、SUVA含量和分布情况,应用三维荧光光谱对各组分物质进行了定性分析.超滤分级表明,RO浓水中相对分子量<1k的有机物占56.98%,相对分子质量5~10k有机物仅占2.19%,但其芳香化程度较高.树脂分离结果表明,RO浓水中亲水性物质（HPI^*）、疏水性物质（HPO^*）和过渡性物质（TPI^*）的DOC含量差异不大,其中HPO^*的芳香构造化程度最高,含有较多的色氨酸类芳香族蛋白质,而HPI^*中含有较多的溶解性微生物代谢产物类物质.     

C/C复合材料不同碳基体的纳米压痕行为研究

目的研究碳基体微观结构对材料整体性能的影响。方法用酚醛浸渍-碳化、中温煤沥青浸渍-碳化、甲烷为碳源前驱体,经化学气相沉积制备得到不同碳基体C/C复合材料。采用偏光显微镜对C/C复合材料不同碳基体的显微结构进行观察分析,采用XRD和Raman光谱对C/C复合材料的树脂碳基体、沥青碳基体和热解碳基体的微晶尺寸进行表征,以玻璃碳作为参比样品,通过纳米压痕测试不同碳基体试样的弹性模量和硬度。结果碳基体为热解碳和沥青碳的石墨微晶缺陷少,完整度较好,石墨化程度高。玻璃碳和树脂碳基体中石墨微晶排列紊乱,有序度低,石墨化程度低。酚醛浸渍-碳化得到的树脂碳的微晶尺寸Lc最小,为1.69 nm,弹性模量和硬度最大,分别为(23.17±0.54) GPa和(3.26±0.10) GPa;光滑层热解碳和粗糙层热解碳的弹性模量和硬度次之;沥青碳的微晶尺寸最大,Lc为9.36nm,而弹性模量和硬度最小,分别为(12.53±2.29) GPa和(0.72±0.14) GPa。结论不同碳基体的C/C复合材料中,碳基体的石墨化度越高,微晶尺寸越大,各向异性越显著,材料的弹性模量和硬度越低。     

泵设备机械密封泄漏事故防范技术探讨

分析了多起石化行业因果设备机械密封泄漏引发的重大火灾事故原因,研究表明:机械密封泄漏的诱发因素多是泵轴承严重故障后,机械密封过度磨损导致密封失效,使高温油料泄漏。为有效防范机械密封泄漏事故,提出防范措施:一是要加强泵轴承的监测,及时发现泵轴承存在的问题,避免泵轴承长期带病运行;二是要加强机泵组的联锁控制,当轴承出现严重故障后,能使机泵组及时停车,避免机械密封过度磨损导致泄漏。     

Novel Biocomposites Sheet Molding Compounds for Low Cost Housing Panel Applications

Biocomposites were made by a novel high volume processing technique named biocomposite sheet molding compound panel (BCSMCP) manufacturing process. This process design was inspired by the commercial glass fiber–polyester resin composite fabrication method called sheet molding compounding (SMC). This process yields continuous production of biocomposites on a large scale, and thus can be easily adopted in industries. A unique fiber dispersion method, which enabled uniform distribution of natural fibers, was used in this process. Consistency of the process was tested by evaluating the repeatability of the resultant materials mechanical properties. The low cost biocomposites produced as a result of the processing will be used for various panel applications such as housing and transportation. The molded samples were tested for various mechanical and thermal properties, in accordance with ASTM procedures. The biocomposites were made with various natural fibers including, big blue stem grass, jute, and industrial hemp. By combining different natural fibers in varying mass fractions, hybrid biocomposites were made using this process. Grass fiber reinforced polyester biocomposites processed by the SMC line showed very promising results.     

Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved.     

埕岛油田海底管道漏磁检测与安全评估

提出了埕岛油田海底管道内缺陷漏磁检测需解决的主要问题,研发了325 mm管道内缺陷漏磁检测装置,确定了海底管道漏磁检测工艺流程,配套了管道检测发射装置、接受装置等相关设施,实现了海底管道的漏磁检测、缺陷分析和安全评估。     

高压直流输电换流阀冷却系统泄漏保护分析

提出了一种高压晶闸管换流阀冷却系统泄漏保护方法,当水冷却系统在一定时间内泄漏量超过换流阀要求的泄漏流量时泄漏保护能正确动作,同时避免由于冷却介质的热胀冷缩而引起误判断,对国内新建直流工程有指导意义。