Drying Kinetics of Poplar (Populus Deltoides) Wood Particles by a Convective Thin Layer Dryer

Drying of poplar wood (Populus Deltoides) particles was carried out at different drying conditions using a laboratory convective thin layer dryer. Drying curves were plotted and in order to analyze the drying behavior, the curves were fi tted to different semi-theoretical drying kinetics models. The effective moisture diffusivity was also determined from the integrated Fick’s second law equation and correlated with temperature using an Arrheniustype model to calculate activation energy of diffusion. The results showed that Midilli et al. model was found to satisfactorily describe the drying characteristics of poplar wood particles dried at all temperatures and air fl ow velocities. In general, the drying rate increases with increasing air temperature and air fl ow velocity. A short constant drying rate period was observed and drying frequently took place at falling rate period in all cases. The effective moisture diffusivity of poplar wood particles increased from 1.01E-10 to 2.53E-10 m2·s-1 as the drying air temperature increased from 65 to 85 °C. The activation energy of diffusion for 1 m·s-1 and 1.5 m·s-1 air fl ow velocities were calculated as 27.8 kJ·mol-1 and 50.8 kJ·mol-1, respectively.

[1]  I. Ceylan.  Determination of Drying Characteristics of Timber by Using Artificial Neural Networks and Mathematical Models , 2008 .

[2]  E. Akpinar.  Determination of suitable thin layer drying curve model for some vegetables and fruits , 2006 .

[3]  F. W. Bakker-Arkema,et al.  Drying cereal grains , 1974 .

[4]  Can Ertekin,et al.  Drying of eggplant and selection of a suitable thin layer drying model , 2004 .

[5]  Evangelos Tsotsas,et al.  METHODS FOR PROCESSING EXPERIMENTAL DRYING KINETICS DATA , 2001 .

[6]  L. F. Whitney,et al.  Mathematical Simulation of Mass and Heat Transfer in High Moisture Foods , 1972 .

[7]  L. Tabil,et al.  Thin-Layer Drying of Flax Fiber: II. Modeling Drying Process Using Semi-Theoretical and Empirical Models , 2006 .

[8]  M. Omid,et al.  Modeling Drying Kinetics of Pistachio Nuts with Multilayer Feed-Forward Neural Network , 2009 .

[9]  Anders Rasmuson,et al.  Mathematical model of steam drying of wood chips and other hygroscopic porous media , 1996 .

[10]  J. R. O'Callaghan,et al.  Digital simulation of agricultural drier performance , 1971 .

[11]  A. Midilli,et al.  A NEW MODEL FOR SINGLE-LAYER DRYING , 2002 .

[12]  S. Kaleemullah,et al.  Drying Kinetics of Red Chillies in a Rotary Dryer , 2005 .

[13]  A. Iguaz,et al.  THIN-LAYER DRYING BEHAVIOUR OF VEGETABLE WASTES FROM WHOLESALE MARKET , 2000 .

[14]  A. Mujumdar.  Handbook of Industrial Drying , 2020 .

[15]  G. Efremov,et al.  Drying Kinetics of Sludge from a Wastewater Treatment Plant , 2004 .

[16]  M. S. Chhinnan.  Evaluation of Selected Mathematical Models for Describing Thin-Layer Drying of In-Shell Pecans , 1984 .

[17]  M. Montazer-Rahmati,et al.  From Laboratory Experiments to Design of a Conveyor-Belt Dryer via Mathematical Modeling , 2005 .

[18]  Anders Rasmuson,et al.  The Drying Kinetics and Equilibrium Moisture Content of MDF Fibers , 2009 .

[19]  N. Meyers,et al.  H = W. , 1964, Proceedings of the National Academy of Sciences of the United States of America.

[20]  S. Renganarayanan,et al.  Studies on thin layer drying of bagasse , 2007 .

[21]  G. Mazza,et al.  Dehydration of onion: some theoretical and practical considerations , 2007 .

[22]  Zafer Erbay,et al.  A Review of Thin Layer Drying of Foods: Theory, Modeling, and Experimental Results , 2010, Critical reviews in food science and nutrition.

[23]  A. N. Haslett,et al.  Simulation of Pinus radiata veneer drying : Moisture content and temperature profiles , 1997 .

[24]  Fausto Freire,et al.  PH—Postharvest Technology: Modelling High Temperature, Thin Layer, Drying Kinetics of Olive Bagasse , 2001 .

[25]  Adnan Midilli,et al.  Single layer drying behaviour of potato slices in a convective cyclone dryer and mathematical modeling , 2003 .