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用三聚氰胺生产中排放的固体废物制备三聚氰酸的模型 被引量:1

Model on the preparation of cyanuric acid using the solid waste from melamine manufacturing
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摘要 用三聚氰胺生产过程中排放出的固体废物在自生压力下酸解制备三聚氰酸进行资源化利用固体废物研究。结果表明,添加酸式硫酸盐在低硫酸浓度下水解几乎能达到高硫酸浓度下水解的效果。以反应温度、反应时间、NaHSO_4用量为输入矢量,三聚氰酸的质量收率为输出矢量,建立具有两层隐居的BP神经网络能较好地体现酸解反应的规律,训练集和预测集总的平均相对误差为1.2%,对水解反应具有较高的预测能力。反应温度提高,NaHSO_4用量增大可提高三聚氰酸的转化率,反应时间延长对提高三聚氰酸质量收率影响不大。 Resource utilization of the solid waste from melamine manufacturing has been studied. The result indicates that cyanuric acid can be prepared by acid digestion under lower acid concentration by adding NaHSO4 in autogenous pressure, and the cyanuric acid mass yield is approximately the same as high H2SO4 concentration. Using reaction temperature, time and NaHSO4 use as input vectors, and cyanuric acid mass yield as output vector to set up BP artificial networks with two hidden layers, the networks can well reflect the acid digestion rule. The mean relative deviation of train and test aggregates is 1.2% , the expect capacity is higher. The high reaction temperature, high NaHSO4 use can increase the mass yield of cyanuric acid, and reaction time rise is insensitive.
出处 《计算机与应用化学》 CAS CSCD 北大核心 2003年第4期427-430,共4页 Computers and Applied Chemistry
基金 河南省杰出青年科学基金(9909)
关键词 三聚氰胺 固体废物 制备 三聚氰酸 资源化利用 神经网络 melamine solid waste resource utilization cyanuric acid artificial neural networks
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参考文献8

  • 1Lahalih, Shawqui M, Abs-Halabi, Mamun. Utilization of Melamine Waste Effluent. US4797433, 1989.
  • 2Lahalih, Shawqui M, Absi-Halabi M. Recovery of solids from melamine waste effluents and their conversion to useful products. Ind Eng Chem Res, 1989, 28(4) :500 -504.
  • 3Shiroishi Akihiro, Hata Toshiyuhi, et al. Method for Recoverying Melamine, Ammeline and Ammelide from Waste Liquor in Melamine Process. W099/37628, 1999.
  • 4Lunzer Friedrich Dipl-Ing Dr, Garber Alfred Dipl-Ing. Process of the Preparation for Pure Cyanuric Acid. EP 0124710. 1984.
  • 5Mason R W, Parker T C. Purification of Cyanuric Acid. US 4963674, 1990.
  • 6Chemical Industry Encyclopaedia (Volume 13). Beijing: Chemical Industry Press, 1997.
  • 7Wang Fuan. Introduction to Chemical Engineering Data. Beijing:Chemical Industry Press, 1995.
  • 8Zupan J, Gasteiger J. Neural Networks and Application in Chemistry.Pan Zhongxiao, Chen Lingran, trans. Hefei : University of Science and Technology of China Press, 2000.

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