甲烷高温自燃诱导过程实验与数值模拟研究

甲烷的转化在化工产业中具有举足轻重的地位与战略意义,近年来涌现的氧化偶联制烯烃等多种新型化工工艺涉及高温条件的甲烷-纯氧等体系的混合与反应过程,明确甲烷高温自燃诱导与爆炸规律是实现工艺安全设计与运行的前提,然而相关研究与基础数据仍较为欠缺。通过利用基于快速压缩装置的高温高压燃爆测试系统开展甲烷-纯氧等典型混合体系的自燃诱导过程研究,同时基于GRI-Mech 3.0机理的数值模拟方法进行了数值模拟研究。实验结果与数值模拟结果吻合较好,随着温度/压力的增加及氧气含量的下降,混合体系自燃诱导时间均缩短;燃料气中加入乙烷或氢气则会大幅缩短自燃诱导过程。对于多个工艺过程中涉及的低氧含量体系率先开展了研究,得到了不同当量比及温度条件下的典型体系自燃诱导时间,同时考察了惰性气的加入对于自燃诱导过程的延长作用。研究结果有助于深入理解甲烷自燃诱导机理,同时指导高温条件的甲烷转化工艺的本质安全化设计与爆炸防控。     

火炸药热自燃点测试及数据自动记录的探讨

简述了所建立的炸药热自燃点测试系统的结构和工作原理，阐明了在多试样热自燃点测试中，采用温度数据自动记录系统的必要性。着重讨论了所研制的多试样火炸药热自燃点自动记录仪的结构和工作原理。     

最小点火能的影响因素及计算误差分析研究

对可燃气体 (液体蒸气 )、可燃粉尘的最小点火能测试中的影响因素进行了分析总结 ,并结合实验分析了求得最小点火能精确值所需要的环境条件和设备设施条件———敏感条件 ;分析了敏感条件下运用常规测试方法和常规计算公式中存在较大误差的原因 ,进而提出了相对准确合理的测试方法及计算公式———直接积分法及拟合近似积分法 ,从而大大降低了误差度 ,获得了比较符合实际的数据。     

Study of lignocellulosic biomass ignition properties estimation from thermogravimetric analysis

In the last decade, the use of renewable resources has increased significantly in order to reduce the energetic dependence on fossil fuels, as they have an important contribution to the global warning and greenhouse gasses effect. Because of that, research on biofuels has been increased in the last years as its characteristics of use match those of the conventional fuel's: solid biomass can be used instead of coals, and biodiesel could replace diesel. Research on solid biomass ignition properties has been considerably developed because of the amount of industrial accidents related to the treatment and use of solid biomass (self-ignition, dust explosions, etc.). On the other hand, thermogravimetric analysis (TGA) is becoming and important characterization technique as it can be used to determine a wide spectrum of properties, such as kinetics, composition, proximate analysis, etc. This research aims to combine thermal analysis and ignition properties, by using the TGA to obtain the elemental composition of lignocellulosic biomass and compare those results to Minimum Ignition Energy (MIE) values test output, so a relation between composition and MIE can be found.To achieve this aim, biomass samples from different origins have been used: oil palm wastes (empty fruit bunches, mesocarp fiber and palm kernel shell), agricultural wastes (straw chops) and forestry wastes (wood chips and wood powder). Also, raw materials and torrefied biomass were compared. The hemicellulose/cellulose ratio was calculated and compared to different flammability properties, finding out that the greater the ratio and the lower the onset temperature (temperature at which the pyrolysis reaction accelerates), the lower was the minimum ignition energy. From this basis it was possible to define “tendency areas” that grouped the samples whose MIE values were similar. Three tendency areas were found: high minimum ignition energy, medium minimum ignition energy, and low ignition energy.     

灼烧净水污泥对外源磷的吸附和固定作用

研究了不同投加方式下(混匀和覆盖)灼烧净水污泥对外源磷的累积吸附效果,以及吸附外源磷后底泥等温吸附效果和在厌氧条件下内源磷释放情况.结果表明,混匀和覆盖条件下,底泥对上覆水中磷的累积吸附量分别为11.496 mg和11.042 mg,明显高于对照实验(7.219 mg).通过对吸附外源磷后的底泥进行等温吸附实验,发现混匀条件和覆盖条件下磷最大吸附量(Smax)均有所增加,并且前者(7.795 mg·g~(-1))要高于后者(6.807 mg·g~(-1)),但磷平衡浓度(EPC0)前者(0.83mg·L~(-1))却明显大于后者(0.64 mg·L~(-1)),表明混匀条件下内源磷更容易释放.在厌氧环境下,混匀方式内源磷释放量仅为0.93 mg,不仅低于覆盖(1.49 mg),也明显低于对照实验(7.76 mg).覆盖条件下比释放速率的平均值(0.006 14)大于混匀(0.003 96),并均低于对照实验.这说明混匀对内源磷的持留能力更强.暗示了单纯用EPC0值来评价底泥对磷的固定能力是不妥的.     

典型软垫家具材料火灾特性的小尺寸实验研究

本文借助锥型量热计对制作软垫家具的材料进行小尺寸实验,获得了典型软垫家具面料、聚氨酯海绵填料及其组合件的燃烧性能参数。通过对实验获得参数的分析比较,认为面料对组合件燃烧特性的影响大,仅使用阻燃布就可以明显改善组合的火灾特性。     

侧向风速作用下聚氨酯泡沫双火源火蔓延研究

为探究环境风作用下逆向双点火源聚氨酯泡沫火蔓延及融合行为,开展多组对照实验并从材料传热机理角度分析侧向风速对火蔓延行为中火羽流形态、质量损失和辐射热流场等特征参数的影响。结果表明:风速与上述参数之间存在非线性关系。环境风效应使火焰被拉长且敷贴于预热区表面,增大预热区面积和热反馈;侧向风速的增加对FPU板材质量损失的影响逐渐弱化,且板材的熔滴率与风速呈正相关;无论侧向风是否存在,两侧逆向火焰融合后均达到整个蔓延过程中的峰值温度;风速的存在限制了火焰温度与辐射热通量峰值,也缩短了温度和辐射峰值出现的时间。     

环境对冲压发动机烟火点火器性能影响研究

为促进某型冲压发动机烟火点火器生产工艺的定型,在海南进行了高温、高湿热带海洋气候自然环境对点火器长期贮存性能影响的研究。点火器采取无包装的暴露试验和密封包装贮存试验2种方法,分别在户外暴露场、棚库和库房等3种环境条件下进行试验。通过试验得到环境温度变化对密封包装储存的点火器的绝缘电阻值、电阻性能均无明显影响,点火性能良好,玻璃钢、涂层等贮存性能良好,点火器的环境适应性良好等结论。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.