International Scientific Journal


Computational fluid dynamics (CFD) is a numerical tool that is highly accurate to simulate a very large number of applications and processes. The CFD analysis has emerged as a viable technique to provide effective and efficient design solutions. In this paper, a CFD analysis for improving temperature distribution in a chili dryer is presented. The CFD technique is used to simulate the temperature distribution inside the chamber. For this purpose, the continuity, momentum and energy equations are considered. The results obtained by CFD analysis based on a specific geometry are presented in order to improve the temperature distribution. In addition, these results were verified experimentally. The distribution of temperatures showed small differences around 4 K during the warming up period. The simulation and experimental results can be useful for further designs of chili dryers with different specific geometries.
PAPER REVISED: 2016-09-25
PAPER ACCEPTED: 2016-10-14
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2018, VOLUME 22, ISSUE Issue 6, PAGES [2615 - 2623]
  1. González, G., The technical assistance service to the producers of dry chili in Zacatecas, Convergence, 14 (2007), 43, pp. 137-165
  2. Gaytán, D., Benita, F., On the competitiveness of Mexico's dry chili production, Economics of Agriculture, 61 (2014), 2, pp. 307-317
  3. Hossain, M., Bala, B., Thin-layer drying characteristics for green chilli, Drying Technology, 20 (2002), 2, pp. 489-505
  4. Arora, S., et al., Convective drying kinetics of red chilies, Drying Technology, 24 (2006), 2, pp. 189-193
  5. Gupta, P., et al., Drying characteristics of red chilli, Drying Technology, 20 (2002), 10, pp. 1975-1987
  6. VijayaVenkataRaman, S., et al., A review of solar drying technologies, Renewable and Sustainable Energy Reviews, 16 (2012), 5, pp. 2652-2670
  7. El, A., Shalaby, S., Solar drying of agricultural products: a review, Renewable and Sustainable Energy Reviews, 16 (2012), 1, pp. 37-43
  8. Hossain, M., et al., Design and development of solar dryer for chilli drying, International Journal of Research, 2 (2015), 1, pp. 63-78
  9. Papade, C., Boda, M., Design and development of indirect type solar dryer with energy storing material, International Journal of Innovative Research in Advanced Engineering, 1 (2014), 12, pp. 109-114
  10. Mohanraj, M., Chandrasekar, P., Performance of a forced convection solar drier integrated with gravel as heat storage material, Journal of Engineering Science and Technology, 4 (2009), 3, pp. 305-314
  11. Charmongkolpradit, S., et al., Drying characteristics of chili using continuous fluidized-bed dryer, American Journal of Applied Sciences, 7 (2010), 10, pp. 1300-1304
  12. Cortés, E., et al., Feasibility analysis of drying process habanero chili using a hybrid-solar-fluidized bed dryer in Yucatán, México, Journal of Energy and Power Engineering, 7 (2013), 10, pp. 1898-908
  13. Marnoto, T., et al., The characteristic of heat pump dehumidifier drier in the drying of red chili (Capsicum annum L), International Journal of Science and Engineering, 3 (2012), 1, pp. 22-25
  14. Umayal, A., et al., Performance of Evacuated Tube Collector Solar Dryer with and Without Heat Sources, Iranica Journal of Energy & Environment, 4 (2013), 4, pp. 336-342
  15. Hudakorn, T., Katejanekarn, T., Performance of a square-corrugated air collector with attached internal fins solar drier for red chili drying, Journal of Science and Technology, 31 (2012), 5, pp. 592-597
  16. Banout, J., et al., Design and performance evaluation of a double-pass solar drier for drying of red chilli (Capsicum annum L), Solar Energy, 85 (2011), 3, pp. 506-515
  17. Kaensup, W., et al., Experimental study on drying of chilli in a combined microwave-vacuum-rotary drum dryer, Drying Technology, 20 (2002), 10, pp. 2067-2079
  18. Kaleemullah, S., Kailappan, R., Drying kinetics of red chillies in a rotary dryer, Biosystems Engineering, 92 (2005), 1, pp. 15-23
  19. Kaewkiew, J., et al., Experimental investigation of the performance of a large-scale greenhouse type solar dryer for drying chilli in Thailand, Procedia Engineering, 32 (2012), 1, pp. 433-439
  20. Hossain, M., Bala, B., Drying of hot chilli using solar tunnel drier, Solar Energy, 81 (2007), 1, pp. 85-92
  21. Hossain, M., et al., Simulation of solar drying of chilli in solar tunnel drier, Drying Technology, 24 (2005), 3, pp. 143-153
  22. Keawsuntia, Y., Experimental investigation of active solar dryer for drying of chili, Advanced Materials Research, 953 (2014), 1, pp. 16-19
  23. Fudholia, A., et al., Performance analysis of solar drying system for red chili, Solar Energy, 99 (2014), 1, pp. 47-54
  24. Karathanos, V., Belessiotis, V., Sun and artificial air drying kinetics of some agricultural products, Journal of Food Engineering, 31 (1997), 1, pp. 35-46
  25. Mulet, A., et al., Effect of air flow rate on carrot drying, Drying Technology, 5 (1987), 2, pp. 245-258
  26. Mirade, P., Prediction of the air velocity field in modern meat dryers using unsteady computational fluid dynamics (CFD) models, Journal of Food Engineering, 60 (2003), 1, pp. 41-48
  27. Anderson, J., Computational Fluid Dynamics, McGraw-Hill, New York, USA, 1995
  28. Yongson, O., et al., Airflow analysis in an air conditioning room, Building and Environment, 42 (2007), 3, 1531-1537
  29. Parviz, M., John, K., Tackling turbulence with supercomputers, Scientific American, 276 (1997), 1, pp. 62-68
  30. Schaldach, G., et al., Computer simulation for fundamental studies and optimization of ICP spray chambers, Institute of Spectrochemistry and Applied Spectroscopy, Current Research Reports, Germany, 2000
  31. Thakker, A., Elhemry, M., 3-D CFD analysis on effect of hub-to-tip ratio on performance of impulse turbine wave energy conversion, Thermal Science, 11 (2007), 4, pp. 157-170
  32. Westerlund, L., et al., Computational fluid dynamics optimization of a pellet burner, Thermal science, 16 (2012), 4, pp. 1175-1186
  33. Gallegos, A., et al., Analysis of effect caused by fitting in the measurements of flow in air conditioning system, Applied Thermal Engineering, 33 (2012), 1, pp. 227-236
  34. Okita, W., et al., Heat transfer analyses using computational fluid dynamics in the air blast freezing of guava pulp in large containers, Brazilian Journal of Chemical Engineering, 30 (2013), 4, pp. 813-824
  35. Amanlou, Y., Zomorodian, A., Applying CFD for designing a new fruit cabinet dryer, Journal of Food Engineering, 101 (2010), 1, pp. 8-15
  36. Margaris, D., Ghiaus, A., Dried product quality improvement by air flow manipulation in tray dryers, Journal of Food Engineering, 75 (2006), 4, pp. 542-550
  37. Mathioulakis, E., et al., Simulation of air movement in a dryer by computational fluid dynamics: Application for the drying of fruits, Journal of food engineering, 36 (1998), 2, pp. 183-200
  38. Prukwarun, W., et al., CFD simulation of fixed bed dryer by using porous media concepts: Unpeeled longan case, International Journal of Agricultural and Biological Engineering, 6 (2013), 1, pp. 100-110
  39. Román, F., et al., Improvement of air distribution in a fixed-bed dryer using computational fluid dynamics, Biosystems engineering, 122 (2012), 4, pp. 359-369
  40. Mirade, P., Daudin, J., A numerical study of the airflow patterns in a sausage dryer, Drying Technology, 18 (2000), 1, pp. 81-97
  41. Weigler, F., et al., Experimental studies on a newly developed mixed-flow dryer, Drying Technology, 31 (2013), 15, pp. 1736-1743
  42. Tzempelikos, D., et al., Analysis of air velocity distribution in a laboratory batch-type tray air dryer by computational fluid dynamics, International Journal of Mathematics and Computer in Simulation, 5 (2012), 6, pp. 413-421
  43. Aissa, W., et al., Performance of solar dryer chamber used for convective drying of sponge-cotton, Thermal Science, 18 (2014), 2, pp. 451-462
  44. Zdanski P., et al., Numerical Assessment of the Air Flow Behavior in a Conventional Compact Dry Kiln., Journal of Applied Fluid Mechanics, 8 (2015), 3, pp. 367-376
  45. Versteeg, H., Malalasekera W., An Introduction to Computational Fluid Dynamics the finite volume method, Pearson Education Limited., London, United Kingdom, 2007
  46. Launder, E., Spalding B., Lectures in Mathematical Models of Turbulence, Academic Press, London, England, 1972
  47. Cengel, Y., Cimbala, J., Fluid mechanics fundamental an applications, McGraw-Hill, New York, USA, 2015
  48. Patankar, S., Numerical heat transfer and fluid flow, Hemisphere, Washington, USA, 1980

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence