Abstract
Mathematical models including mass and energy conservation were developed in order to predict the outlet particles temperature and moisture. As the inlet air temperature increased, the outlet particles temperature increased as well and the outlet particles moisture decreased quickly. The outlet particles temperature and moisture changed a little as a function of the speed of rotation at the low inlet air temperature, while the outlet particles temperature and moisture increased very apparently with the speed of rotation increased at the high inlet air temperature. The error of the simulation results compared to the experimental data showed good accuracy for particles temperature and moisture content. The mathematical model performs well to predict the outlet particles temperature and moisture content.
Funding statement: Funding: This research was supported by The Science and Technology Development Planning Program of Beijing Municipal Education Committee (No. KM200710011005).
Nomenclature
- α
volumetric heat transfer coefficient of solids, m2/s
- D
dryer diameter, m
- Dg
the moisture diffusion coefficient, m2/s
- G′
dry gas mass flow rate, dry basis, kg/s
- hD
the convective mass transfer coefficient between air and solids, kg/s m2 °C
- HG
gas enthalpy, J/kg
- HS
solids enthalpy, J/kg
- hs
the convective heat transfer coefficient between air and solids, W/m2 K
- k
the heat transfer coefficient of solids surface, J/kg K
- L
dryer length, m
- M
the moisture content of solids, dry basis, kg/kg
- Me
equilibrium moisture content, dry basis, kg/kg
- QL
heat loss, J/kg
- r
position coordinates, m
- S′
dry solids feed rate, dry basis, kg/s
- t
the time of fall, s
- T
the transient temperature of solids, K
- Tg
the temperature of air, K
- Ts
the temperature of solids surface, K
- X
gas moisture content, dry basis, kg/kg
- Y
particle moisture content, dry basis, kg/kg
References
1. Perazzini H, Freire FB, Freire JB. Prediction of residence time distribution of solid wastes in a rotary dryer. Drying Technol 2014;32:428–36.10.1080/07373937.2013.835317Search in Google Scholar
2. Sunkara KR, Herz F, Specht E, Mellmann J, Erpelding R. Modeling the discharge characteristics of rectangular flights in a flighted rotary drum. Powder Technol 2013;234:107–16.10.1016/j.powtec.2012.09.007Search in Google Scholar
3. Zarea Hosseinabadi H, Layeghi M, Berthold D, Doosthosseini K, Shahhosseini S. Mathematical modeling the drying of poplar wood particles in a closed-loop triple pass rotary dryer. Drying Technol 2014;32:55–67.10.1080/07373937.2013.811250Search in Google Scholar
4. Geng F, Li Y, Yuan L, Liu M, Wang X, Yuan Z, et al. Experimental study on the space time of flexible filamentous particles in a rotary dryer. Exp Therm Fluid Sci 2013;44:708–15.10.1016/j.expthermflusci.2012.09.011Search in Google Scholar
5. Iguaz A, Esnoz A, Martinez G, López A, Vírseda P. Mathematical modeling and simulation for the drying process of vegetable wholesale by-products in a rotary dryer. J Food Eng 2003;59:151–60.10.1016/S0260-8774(02)00451-XSearch in Google Scholar
6. Kalbag A, Wassgren C, Penumetcha SS, Pérez-Ramos JD. Inter-tablet coating variability: residence times in a horizontal pan coater. Chem Eng Sci 2008;63:2881–94.10.1016/j.ces.2008.03.009Search in Google Scholar
7. Britton PF, Sheehan ME, Schneider PA. A physical description of solids transport in flighted rotary dryers. Powder Technol 2006;165:153–60.10.1016/j.powtec.2006.04.006Search in Google Scholar
8. Cao WF, Langrish TAG. Comparison of residence time models for cascading rotary dryers. Drying Technol 1999;17:825–36.10.1080/07373939908917572Search in Google Scholar
9. Renaud M, Thibault J, Trusiak A. Solids transportation model of an industrial rotary dryer. Drying Technol 2000;18:843–65.10.1080/07373930008917741Search in Google Scholar
10. Shahhosseini S, Cameron IT, Wang FY. A simple dynamic model for solid transport in rotary dryers. Drying Technol 2000;18:867–86.10.1080/07373930008917742Search in Google Scholar
11. Sheehan ME, Britton PF, Schneider PA. A model for solids transport in flighted rotary dryers based on physical considerations. Chem Eng Sci 2005;60:4171–82.10.1016/j.ces.2005.02.055Search in Google Scholar
12. Song Y, Thibault J, Kudra T. Dynamic characteristics of solids transportation in rotary dryers. Drying Technol 2003;21:775–773.10.1081/DRT-120021685Search in Google Scholar
13. Arruda EB, Lobato FS, Assis AJ, Barrozo MA. Modeling of fertilizer drying in roto-aerated and conventional rotary dryers. Drying Technol 2009;27:1192–8.10.1080/07373930903263129Search in Google Scholar
14. Cao WF, Langrish TA. The development and validation of a system model for a countercurrent cascading rotary dryer. Drying Technol 2000;18:99–115.10.1080/07373930008917695Search in Google Scholar
15. Kemp IC, Oakley DE. Simulation and scale-up of pneumatic conveying and cascading rotary dryers. Drying Technol 1997;15:1699–710.10.1080/07373939708917319Search in Google Scholar
16. Lobato FS, Steffen Jr V, Arruda EB, Barrozo M. Estimation of drying parameters in rotary dryers using differential evolution. J Phys Conf 2008;135:1–8.10.1088/1742-6596/135/1/012063Search in Google Scholar
17. Zabaniotou AA. Simulation of forestry biomass drying in a rotary dryer. Drying Technol 2000;18:1415–31.10.1080/07373930008917785Search in Google Scholar
18. Krokida MK, Maroulis ZB, Kremalis C. Process design of rotary dryers for olive cake. Drying Technol 2002;20:771–88.10.1081/DRT-120003756Search in Google Scholar
19. Abbasfard H, Rafsanjani HH, Ghader S, Ghanbari M. Mathematical modeling and simulation of an industrial rotary dryer: a case study of ammonium nitrate plant. Powder Technol 2013;239:499–505.10.1016/j.powtec.2013.02.037Search in Google Scholar
20. Myklestad O. Heat and mass transfer in rotary dryers. Chem Eng Prog S Ser 1963;59:129–37.Search in Google Scholar
21. Sharples K, Glikin PG, Warne R. Computer simulation of rotary dryers. Trans Inst Chem Eng 1964;42:275–84.Search in Google Scholar
22. Thorpe GR. The mathematical modeling of dryers. PhD. thesis, Nottingham University, 1972.Search in Google Scholar
23. Kamke FA, Wilson JB. Computer simulation of a rotary dryer, Part II: heat and mass transfer. Am Inst Chem Eng J 1986;32:269–75.10.1002/aic.690320214Search in Google Scholar
24. Douglas PL, Kwade A, Lee PL, Mallick SK. Simulation of a rotary dryer for sugar crystalline. Drying Technol 1993;11:129–55.10.1080/07373939308916806Search in Google Scholar
©2016 by De Gruyter
Articles in the same Issue
- Frontmatter
- Research Articles
- Characterizing Texture, Color and Sensory Attributes of Cookies Made with Jerusalem Artichoke (Helianthus tuberosus L.) Flour Using a Mixture Design and Browning Reaction Kinetics
- Physico-chemical Characterization of Turbidity-Causing Particles in Beet Sugar Solutions
- Characterization of Morphology and Structural and Thermal Properties of Legume Flours: Cowpea (Vigna unguiculata L. Walp) and Bambara Groundnut (Vigna subterranea L. Verdc.) Varieties
- Evaluation of Three-Step Pretreatment Combined with Air Blast or Cryomechanical Freezing in Improving the Quality of Frozen Strawberries (Fragaria×ananassa Duch. cv. Harunoka)
- Development of an Innovative Raw Milk Dispenser Based on Nanofluid Technology
- Dehydration and Rehydration of Cooked Mussels
- NMR Relaxometry and Imaging to Study Water Dynamics during Soaking and Blanching of Soybean
- Modeling and Simulation of a Co-current Rotary Dryer
- Effects of Extraction Conditions on the Functional Properties of Bambara Bean Protein Concentrates
- Rehydration Capacity and Kinetics of Solar-Dried Carrot (Daucus carota) Slices as Affected by Blanching and Osmotic Pretreatments
Articles in the same Issue
- Frontmatter
- Research Articles
- Characterizing Texture, Color and Sensory Attributes of Cookies Made with Jerusalem Artichoke (Helianthus tuberosus L.) Flour Using a Mixture Design and Browning Reaction Kinetics
- Physico-chemical Characterization of Turbidity-Causing Particles in Beet Sugar Solutions
- Characterization of Morphology and Structural and Thermal Properties of Legume Flours: Cowpea (Vigna unguiculata L. Walp) and Bambara Groundnut (Vigna subterranea L. Verdc.) Varieties
- Evaluation of Three-Step Pretreatment Combined with Air Blast or Cryomechanical Freezing in Improving the Quality of Frozen Strawberries (Fragaria×ananassa Duch. cv. Harunoka)
- Development of an Innovative Raw Milk Dispenser Based on Nanofluid Technology
- Dehydration and Rehydration of Cooked Mussels
- NMR Relaxometry and Imaging to Study Water Dynamics during Soaking and Blanching of Soybean
- Modeling and Simulation of a Co-current Rotary Dryer
- Effects of Extraction Conditions on the Functional Properties of Bambara Bean Protein Concentrates
- Rehydration Capacity and Kinetics of Solar-Dried Carrot (Daucus carota) Slices as Affected by Blanching and Osmotic Pretreatments