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- "Many technical problems were solved with relation to low degree of coalification,low ash fusion temperature and low ash content. 解决了低变质程度煤、低灰熔点、低灰含量煤的气化技术。
- The chemical compositions of the coal ash were employed as inputs and the ash fusion temperature as output. The results show that the maximum and average relative predicting error are 7.4% and 0.678%,respectively. 将灰成分作为输入量;煤灰软化温度作为输出量;用试验数据对模型进行了校验;结果表明;支持向量机模型预测的最大相对误差和平均相对误差分别为7.;4%25和0
- The article describes the limitation of Texaco pressurized gasification of coal slurry, and also the research result for gasification of Huainan coal with high ash fusion temperature . 概述了德士古水煤浆加压气化的局限性,介绍了淮化在高灰熔点淮南煤气化方面的研究成果。
- ash fusion temperature measurement 灰熔融性测定
- high ash fusion temperature coal 高灰熔点煤
- The noticed problems of measuring ash fusion temperature 灰熔融性测定中应注意的问题
- Study Of Increasing Coal Ash Fusion Temperature and Its Mechanism 提高煤灰熔融温度及其机理的研究
- Gasification of the Coal with High Ash Fusion Temperature 高灰熔点煤的气化
- Keywords Texaco;gasification;high ash fusion temperature; 德士古;气化;高灰熔点;
- Keywords coal blending;ash fusion temperature;ash fusibility;X-RD; 配煤;灰熔融性温度;熔融性;X-衍射;
- Lowering ash fusion temperature of high fusibility Huainan coal by adding flux 添加助熔剂降低高灰熔性淮南煤灰熔点
- Mechanism of reducing ash fusion temperature by adding flux in Huainan coal 添加助熔剂降低淮南煤灰熔融性机理初探
- Analysis of Coal Ash Fusion Temperature Using Polynomial Partial Regression Functions 煤灰熔融温度多项式模型的偏回归函数分析
- Employing support vector machine to predict the ash fusion temperature of coal blends 支持向量机技术在动力配煤中灰熔点预测的应用
- Application of general regression neural network in prediction of coal ash fusion temperature 广义回归神经网络在煤灰熔点预测中的应用
- The study and elementary search of coal blending to reduce the ash fusion temperature of Huainan coal 配煤降低淮南煤灰熔点的研究及机理初探
- Ash Agglomerating Fluidized Bed Gasification on Chinese Coal with High Ash, High Sulfur and High Ash Fusion Temperature 中国高灰、高硫、高灰熔融性温度煤的灰熔聚流化床气化
- Combining Support Vector Machine and Genetic Algorithm to Predict Ash Fusion Temperature 基于支持向量机与遗传算法的灰熔点预测
- Combining general regression neural network and genetic algorithm to optimize ash fusion temperature 基于广义回归神经网络与遗传算法的煤灰熔点优化
- Keywords Fluidized bed;gasification;coal;ash agglomerating;high ash;high sulfur;high ash fusion temperature; 流化床;气化;煤;灰熔聚;高灰;高硫;高灰熔融性温度;
