| 基于K-means聚类算法的电弧炉强化用氧的优化研究 |
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| 引用本文： | 王振宙,朱荣,蒋金燕,牛重生,胡俊邦.基于K-means聚类算法的电弧炉强化用氧的优化研究[J].北京科技大学学报,2007(Z1). |
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| 作者姓名： | 王振宙 朱荣 蒋金燕 牛重生 胡俊邦 |
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| 作者单位： | 北京科技大学冶金与生态工程学院，北京科技大学冶金与生态工程学院，国家知识产权局专利审查协作中心，安阳钢铁股份有限公司，安阳钢铁股份有限公司 北京100083，北京100083，北京100083 |
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| 摘 要： | 主要采用数据挖掘技术中的聚类分析算法对电弧炉炼钢的历史数据进行分析、加工处理,得出不同热装铁水比、炼钢成本、氧耗情况下的炉次分类,再利用K-means聚类法得到聚类结果,并对结果进行分析.通过分析比对,在结果的不同分类中选出最优的用氧和用电曲线.
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| 关 键 词： | 电弧炉 集束氧枪 聚类 |
Study of optimizing oxygen injection in EAF process based on K-means clustering |
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| WANG Zhenzhou,ZHU Rong,JIANG Jinyan,NIU Chongjun,HU Junbang Metallurgical and Ecological Engineering School,University and Science Technology Beijing,Beijing ,China Patent Examination Cooperation Center of SIPO,Beijing ,China Anyang Iron and Steel Co Ltd.,Anyang ,China.Study of optimizing oxygen injection in EAF process based on K-means clustering[J].Journal of University of Science and Technology Beijing,2007(Z1). |
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| Authors: | WANG Zhenzhou ZHU Rong JIANG Jinyan NIU Chongjun HU Junbang Metallurgical and Ecological Engineering School University and Science Technology Beijing Beijing China Patent Examination Cooperation Center of SIPO Beijing China Anyang Iron and Steel Co Ltd Anyang China |
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| Institution: | WANG Zhenzhou1),ZHU Rong1),JIANG Jinyan2),NIU Chongjun3),HU Junbang3) 1) Metallurgical and Ecological Engineering School,University and Science Technology Beijing,Beijing 100083,China 2) Patent Examination Cooperation Center of SIPO,Beijing 100083,China 3) Anyang Iron and Steel Co Ltd.,Anyang 455004,China |
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| Abstract: | The history data produced by steel-making were analyzed and then were processed to classify them according to the differences of hot metal, cost, oxygen consumption and yield. It provides practical infor-mation for the operator. For different sorts, several groups of oxygen injection and active power curves were found representing the corresponding sort and its optimization oxygen injection and active power curve were obtained after processing the curves together. |
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| Keywords: | EAF coherent oxygen lance cluster |
| 本文献已被 CNKI 等数据库收录！ |
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