期刊文献+

ANN modeling for diffusivity of mushroom and vegetables using a fluidized bed dryer 被引量:1

ANN modeling for diffusivity of mushroom and vegetables using a fluidized bed dryer
原文传递
导出
摘要 Drying characteristics in terms of diffusivity were studied for mushrooms and different vegetables in a fluidized bed dryer. Drying characteristics with falling rate regime were computed for all the sampi^z. Effective diffusivity of each sample was calculated. Mass transfer coefficients were determined. Mass transfer kinetics for drying of different samples was also found out. Correlations for the diffusivity of samples were developed by relating the experimentally observed data with the different system parame- ters on the basis of regression analysis. The developed correlations for effective moisture diffusivity of the samples are validated by artificial neural network (ANN) modeling. Finally calculated values of diffusivity obtained through both the methods are compared with the experimentally measured values which show a very good approximation thereby indicating the wide applicability of the developed correlations for industrial uses. Drying characteristics in terms of diffusivity were studied for mushrooms and different vegetables in a fluidized bed dryer. Drying characteristics with falling rate regime were computed for all the sampi^z. Effective diffusivity of each sample was calculated. Mass transfer coefficients were determined. Mass transfer kinetics for drying of different samples was also found out. Correlations for the diffusivity of samples were developed by relating the experimentally observed data with the different system parame- ters on the basis of regression analysis. The developed correlations for effective moisture diffusivity of the samples are validated by artificial neural network (ANN) modeling. Finally calculated values of diffusivity obtained through both the methods are compared with the experimentally measured values which show a very good approximation thereby indicating the wide applicability of the developed correlations for industrial uses.
出处 《Particuology》 SCIE EI CAS CSCD 2013年第5期607-613,共7页 颗粒学报(英文版)
关键词 Activation energyEffective diffusivityDrying rateMass transfer kineticsRegression analysisArtificial neural network Activation energyEffective diffusivityDrying rateMass transfer kineticsRegression analysisArtificial neural network
  • 相关文献

参考文献18

  • 1Arumuganathan, T, Manikantan, M. R, Rai, R. D, Anandakumar, S, & Khare, V. (2009). Mathematical modeling of drying kinetics of milky mushroom in a fluidized bed dryer, lnternationalAgrophysics, 23, 1-7.
  • 2Chayjan, R. A, Montazer, G. A, Hashjin, T. T, Khoshtaghaza, M. H, 82 Ghobadian, B. (2007). Prediction of pistachio thermal conductivity using artificial neural network approach. International]ournal of Agriculture and Biology, 9( 6 ), 816-820.
  • 3Fulford, G. D. (1969). A survey of Soviet research on the drying of solids. Canadian lournal of Chemical Engineering, 47, 378-391.
  • 4Gaston, A. L, Abalone, R. M,, & Giner, S. A. (2002). Wheat drying kinetics, Diffusivities for sphere and ellipsoid by finite elements. Journal of Food Engineering, 52(4), 313-322.
  • 5Hii, C. L, Lawb, C. L, Clokea, M, & Suzannahb, S. (2008). Thin layer drying kinetics of cocoa and dried product quality. Biosystems Engineering, 102, 153-161.
  • 6Ibrahim, M, Sopian, K, & Daud, W. R. W. (2009). Study ot the drying kinetics ol lemon grass. American Journal of Applied Sciences, 6(6), 1070-1075.
  • 7l(ossovich, P. S, & Lebedev, A. F. (1967). A survey of the development ot the science of heat and mass transfer in the Soviet Union.Journal of Engineering Physics, 13, 313-325.
  • 8Meisami-asl, E, Rafiee, S, Keyhani, A, & Tabatabaeefar, A. (2010). Determination of suitable thin layer drying curve model for apple slices (variety-Golab). Plant Omics, 3(3), 103-108.
  • 9Menlik, T, Kirmaci, V, & Usta, H. (2009). Modeling of freeze drying behaviors ot strawberries by using artificial neural network, Journal of Thermal Science and Technolosy, 29(2), 11-21.
  • 10Nazghelichi, T, Kianmehr, M. H, & Aghbashlo, M. (2011 ). Prediction of carrot cubes drying kinetics during fluidized bed drying by artificial neural network.Journal Food Science Technology, 48(5), 542-550.

同被引文献2

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部