Short residence time of the sorbent in the gas stream and formation of a dense layer of reaction product surrounding its surface influence the sulfur removal efficiency. A practical means of improving the process perf...Short residence time of the sorbent in the gas stream and formation of a dense layer of reaction product surrounding its surface influence the sulfur removal efficiency. A practical means of improving the process performance is to employ fluidized bed reaction in replacement of entrained bed reaction on normally used in cool side desulfurizaiton. This paper describes cold modeling study of a circulating fluidized bed reactor. Several aspects of the problem are discussed: fluidization behavior of CaO, attrition of the sorbent and solids entrainment from the fluidized bed. Mechanisms and key controlling parameters are identified, and an integral model based on rate of attrition and mass balance is developed for predicting steady state mass flows and particle size distributions of the system. A process flow scheme is finally presented for conducting desulfurization tests in the second stage of the study.展开更多
在带钢冷连轧生产过程中,轧制力预测准确度直接影响产品质量。为提高轧制力预测准确度,提出了基于LSTM-JITRVM(long short term memory-just in time relevance vector machine)的轧制力模型。首先,使用循环自编码网络对输入数据进行深...在带钢冷连轧生产过程中,轧制力预测准确度直接影响产品质量。为提高轧制力预测准确度,提出了基于LSTM-JITRVM(long short term memory-just in time relevance vector machine)的轧制力模型。首先,使用循环自编码网络对输入数据进行深层次特征提取,然后使用局部离群因子算法判断测试样本与其邻域点是否属于同一分布,针对不同的分布使用不同的自学习回归模型进行拟合。仿真结果表明,该模型预测准确度可控制在3%以内,能够实现轧制力的高准确度在线预测。展开更多
文摘Short residence time of the sorbent in the gas stream and formation of a dense layer of reaction product surrounding its surface influence the sulfur removal efficiency. A practical means of improving the process performance is to employ fluidized bed reaction in replacement of entrained bed reaction on normally used in cool side desulfurizaiton. This paper describes cold modeling study of a circulating fluidized bed reactor. Several aspects of the problem are discussed: fluidization behavior of CaO, attrition of the sorbent and solids entrainment from the fluidized bed. Mechanisms and key controlling parameters are identified, and an integral model based on rate of attrition and mass balance is developed for predicting steady state mass flows and particle size distributions of the system. A process flow scheme is finally presented for conducting desulfurization tests in the second stage of the study.
文摘在带钢冷连轧生产过程中,轧制力预测准确度直接影响产品质量。为提高轧制力预测准确度,提出了基于LSTM-JITRVM(long short term memory-just in time relevance vector machine)的轧制力模型。首先,使用循环自编码网络对输入数据进行深层次特征提取,然后使用局部离群因子算法判断测试样本与其邻域点是否属于同一分布,针对不同的分布使用不同的自学习回归模型进行拟合。仿真结果表明,该模型预测准确度可控制在3%以内,能够实现轧制力的高准确度在线预测。
