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    利用数据挖掘技术研究陶瓷流延粉末粒径分布

    Study on Ceramic Particles Size Distribution in Tape-casting by Data Mining

    • 摘要: 采用扫描电镜对陶瓷流延坯体不同分层的颗粒粒径进行测量。利用数据挖掘技术中的聚类算法对收集的大量粒径数据进行分析, 发现挖掘出的规则为坯体上下两层的颗粒粒径分布呈明显差异, 这与理论推导结果得出的规律一致, 表明数据挖掘技术在研究粉末粒径分布规律上有很强的实用性。

       

      Abstract: Scanning electron microscope was used in the diameter measurement of ceramic particles in tape-casting. After analyzed a large amount of data by K-means algorithm in the data mining methods. The results showed that, the particles of different layers exhibited an anisotropic structure in the green body. It was quite consistent with theoretical results. This implied that data mining technology had the huge potential in the studies of particles size distribution.

       

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