热线法测量钢包滑动水口耐火材料的导热系数

介绍了基于线热源测量技术确定室温到１５００℃范围内钢包滑动水口耐火材料导热系 方法。应用“热四端网络”方法建立了系统传热过程的数学模型,分析了同时估计数学模型中未知参数的可能性,并提出了新的参数估计方案。     

高炉炭块导热系数的测试方法

采用激光闪光法测量高炉炭块的导热系数,通过大量的实验证明是可行的。该方法具有所用试样小、测量周期短、试样高温氧化可较好解决等优点。建立我国高炉炭块导热系数的测试标准,对提高我国高炉炭块质量,延长高炉寿命,满足高炉生产水平的不断提高都将是非常有益的。     

耐火材料荷重软化温度测试方法比较

对测试耐火材料荷重软化温度所采用的示差升温法和非示差升温法进行比较,通过分析可知产生差异主要是由测温热电偶安装位置和加荷系统在加热过程中产生变形造成。通过比较发现,使用示差升温法测定耐火材料荷重软化温度得到的结果比非示差升温法测定结果低。     

普通硅酸铝耐火纤维毡导热系数的研究

根据实验数据，通过回归分析得到了普通硅酸铝耐火纤维毡导热系数的经验公式。公式反映了平均温度，体积密度和渣球含量对导热系数的影响，并可表示如下。λ＝０．０５５３８＋０．３４５４×１０＾－＾５（Ｓ×ｔ）＋０．２０９４＾１０＾－＾４（ｔ＾２／ρ）＋０．６８５４×１０＾－＾１＾０ｔ＾３公式适用范围为：３５０≤ｔ≤７５０℃，１１６≤２２０ｋｇ／ｍ＾３，Ｓ≤９．８％。在此范围内，公式与实验数据吻合良好。     

冶金粉料导热系数的测定

介绍了用热线法测定冶金粉料导热系数的原理、装置及工艺方法,并用该方法测定了某一冶金粉料的导热系数,得到了导热系数与温度间的关系.实验证实使用该方法测定冶金粉料导热系数可行,还证实测得的导热系数重现性很好,波动范围在±3%.     

皮江法物料导热系数测定

采用稳态平板法测定了皮江法炼镁工艺物料的导热系数.结果表明:温度升高,原料中硅铁配入量增加,以及添加CaF2都能提高物料的导热系数.随着还原反应进行,物料的导热系数降低.添加CaF2将降低还原渣的导热系数.对于添加3%CaF2的还原原料导热系数与温度的关系为λ=2.88×10-4T+0.14;添加3%CaF2、还原率为78%的还原渣的导热系数与温度的关系为λ=4.95×10-5T+0.08.     

不同钢种导热系数随温度变化规律的研究

为了系统了解不同钢种导热系数随温度变化规律,采用闪射法测出08A、35K、45#、GCr15四种钢在28～1 060℃区间的导热系数,通过绘图分析总结其规律.结果表明,不同钢种在同一温度下导热系数不同,常温下,高碳钢的导热系数值低于低碳钢,说明碳含量影响导热系数值.同一钢种不同温度下导热系数不同.所有钢种的导热系数在相变点(700～800℃)之前都随温度的升高而降低,相变点之后随温度的升高而升高.     

金属材料高温导热系数的测试分析

根据金属纵向直接通电加热的卡里劳希（ＫｏｈＩｒａｕｃｈ）法则，利用ｇｌｅｅｂｌｅ－２０００型热力学动态模拟试验机，通过通电加热细长棒试样时的功率能耗及两端长度上温度的变化，可以快捷准确地测试金属材料的导热系数。对ｓｍ４９０ｗｂＨ型钢导热系数测试表明：卡里劳希（Ｋｏｈｌｒａｕｃｈ）法则是可靠的，试验方法比较便捷，试验数值具有准确性。对今后金属热物性的测试研究有着广泛的推广应用的作用。与此同时，也为ｇ     

稀土电解槽用石墨高温导热系数的测定

根据热平衡的原理 ,测定了石墨在高温条件下不同温度的导热系数 ;并根据所得数据 ,采用回归的方法 ,得到了高温状态下石墨导热系数的计算公式。     

Determination of the Thermal Conductivity Coefficient of Superhard Materials

A technique of determining the thermal conductivity coefficient of superhard materials based on the solution of inverse thermal conductivity problems is presented. The design of a heat receiver is developed, in the form of a model comprising thermocouples for experimental determination of a one-dimensional temperature field under the conditions of unidirectional heating. The model is formed from three or four plates (provided with thermocouples) connected together by means of high-temperature cement. Using samples of hexanite-R as an example, application of the newly developed technique for determining the temperature dependence of the thermal conductivity coefficient of the particular material is demonstrated. The technique does not entail the destruction of the plates of superhard materials. Following the tests, the plates may be used for the manufacture of cutting tools.     

热工设备用耐火材料的选择与使用寿命

根据使用条件选择热工设备用耐火材料.受化学侵蚀的,通过物理化学理论推算,选择抗侵蚀的耐火材料;受机械碰撞的,选择强度高、耐磨性好的耐火材料;只受高温作用的,选择隔热保温好的耐火材料.并作模拟实验确定.选择到合适的耐火材料,才能保证热工设备有高的使用寿命.     

“交叉热线”测量固体材料的热导率:测温热电偶的影响

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AlN-TiC复相陶瓷导热性能的研究

采用热压烧结工艺制备了AlN-TiC复相陶瓷。通过XRD、SEM和激光导热仪研究了TiC含量和烧结温度对复相陶瓷导热性能的影响,并对A1N-TiC的相组成和显微结构进行了观察分析。结果表明,随着TiC质量分数增至50%时,热导率由102.9W/(m·K)下降到46.6W/(m·K);在TiC含量为10%时,随着温度的升高,热导率从59.8W/(m·K)增加到83.6W/(m·K)。     

铝电解槽内衬材料导热系数的测定

在工业铝电解槽上,内衬材料占有很重要的地位。内衬材料的性能对铝电解槽的热量损失尤其重要,其导热系数是计算热平衡的重要数据之一。对于导热系数的测量方法有很多种,本文是根据YB/T059-91[1],在实验室原有仪器[2]的基础上设计了测量装置,并对某铝电解厂的筑炉和刨炉材料的导热系数进行了测量和分析。     

Studies and Properties of Ceramics with High Thermal Conductivity

The sintering technology of the AlN ceramics power were discussed. It is discussed that the compound sintering aids is consistent with the enhancement of the the thermal conductivity of AlN ceramics, and sintering technics is helped to the improvement of density. It is analyzed how to sinter machinable AlN ceramics with high thermal conductivity. And the microstructure of compound ceramics based on AlN was studied.     

基于空心球聚合体的多孔介质有效导热系数的两种模型

根据硬硅钙石型微孔硅酸钙的结构特点,将其简化成空心球聚合成的多孔介质,建立了点接触空心球壳与面接触空心立方体两种单元体模型.采用一维热传导分析,推导出有效导热系数的理论计算公式.计算结果表明,模型计算值与硅酸钙实验值有较好的一致性.理论模型可应用于与微孔硅酸钙具有类似结构的多孔介质导热系数的估算.     

Measurement and Analysis of Thermal Conductivity of Rocks in the Tarim Basin,Northwest China

As a parameter that describes heat transmission properties of rocks, thermal conductivity is indispensable for studying the thermal regime of sedimentary basins, and retrieving high-quality data of thermal conductivity is the basis for geothermal related studies. The optical scanning method is used here to measure the thermal conductivity of 745 drill-core samples from the Tarim basin, the largest intermontane basin with abundant hydrocarbon potential in China, and water saturation correction is made for clastic rock samples that are of variable porosity. All the measured values, combined with previously published data in this area, are integrated to discuss the distribution characteristics and major controlling factors that affect the thermal conductivity of rocks in the basin. Our results show that the values of thermal conductivity of rocks generally range from 1.500 to 3.000 W/m·K with a mean of 2.304 W/m·K. Thermal conductivity differs considerably between lithological types: the value of a coal sample is found to be the lowest as being only 0.249 W/m·K, while the values for salt rock samples are the highest with a mean of 4.620 W/m·K. Additionally, it is also found that the thermal conductivity of the same or similar lithologic types shows considerable differences, suggesting that thermal conductivity cannot be used for distinguishing the rock types. The thermal conductivity values of mudstone and sandstone generally increase with increasing burial depth and geological age of the formation, reflecting the effect of porosity of rocks on thermal conductivity. In general, the mineral composition, fabric and porosity of rocks are the main factors that affect the thermal conductivity. The research also reveals that the obvious contrast in thermal conductivity of coal and salt rock with ther common sedimentary rocks can induce subsurface temperature anomalies in the overlying and underlying formations, which can modify the thermal evolution and maturity of the source rocks concerned. This rinding is very important for oil and gas resources assessment and exploration and needs further study in detail. The results reported here are representative of the latest and most complete dataset of thermal conductivity of rocks in the Tarim basin, and will provide a solid foundation for geothermal studies in future.