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Study on the Prediction Model of Heat Transfer Coefficient during Tube Digestion

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Light Metals 2015

Abstract

Based on the actual production data of gibbsite refinery in Vietnam, prediction model of heat transfer coefficient is established due to the mechanism of heat transfer, which is validated by actual production data. The results show that the predicted and the actual ones are in good conformity. The main factors affecting the heat transfer coefficient are analyzed, and the main measures to control the scale are put forward. It can help to arrange the cleaning period, ensure the digestion technical indexes, and stabilize production process.

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References

  1. E. Singhoffer and J. Steiner, “Experiences for the Reconstruction of Traditional Digestion Lines with the Application of Tube Digestion Elements in the Hungarian Alumina Plants”, Light Metals, 1990, 27–34

    Google Scholar 

  2. A.G. Suss, I.V. Paromova. et al. “Tube Digesters: Protection of Heating Surfaces and Scale Removal”, Light Metals, 2004, 137–142

    Google Scholar 

  3. Sébastien Fortin and Raymond Breault, “Bayer Process Heat Exchangers Cleaning Efficiency: Optimizing the Acid Dissolution of Sodalite Scale”, ECI Digital Archives, 2003

    Google Scholar 

  4. Jamialahmadi, M., Müller-Steinhagen, H., and Robson, B. J. “Effect of Process Parameters on Scale Formation from Spent Bayer Process Liquor Part I: Experimental Observations”, Aluminium, 1993(69) 823

    Google Scholar 

  5. Delgado, M., Manocha, R., and Fort, K., “Effect of Increased Liquor Concentration and Scaling on Performance of the Thermal Areas”, Light Metals, 1992, 151

    Google Scholar 

  6. K. Yamada, M. Yoshihara. “Properties of Scale in Bayer Process”, Light Metals, 1985, 223–236

    Google Scholar 

  7. T. Oku and K. Yamada. “the Dissolution Rate of Quartz and the Rate of Desilication in the Bayer Liquor”. Essential Reading in Light Metals, 2013(1): 247–254

    Google Scholar 

  8. Duncan, A., Groemping, M., Welch, B., and MüllerSteinhagen, H. “The Effect of Silica, Temperature, Velocity, and Particulates on Heat Transfer to Spent Bayer Liquor”, Light Metals, 1995, 63

    Google Scholar 

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© 2015 TMS (The Minerals, Metals & Materials Society)

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Zhengyong, Z., Baiyong, Z., Zhiguo, L. (2015). Study on the Prediction Model of Heat Transfer Coefficient during Tube Digestion. In: Hyland, M. (eds) Light Metals 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-48248-4_6

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