Finite element simulation of temperature variation in grain metal silo M.G., Fadeyibi A., Adisa O.I.O., Alabi K.P. (2018): Finite element simulation of temperature variation in grain metal silo. Res. Agr. Eng., 64: 107-114.
download PDF

This research was conducted to study temperature variation in grain metal silo using Finite Element Method (FEM). A mathematical model was developed, based on conductive heat transfer expressed in Poisson and Laplace Differential models, by discretising the actual temperature variation at 8 hours storage interval for 153 days (May to September). The temperature variations were measured from specified radii (0, 3.25 m and 8.25 m) and at depth of 1.2 m from the base of the grain silo. The results of the simulation were compared with the ambient and measured values, and this agreed with each other. The pattern of temperature at the depth of 1.2 m from the radii of the metal silo did not differ from each other. This may imply that the silo will need aeration at an interval of 8 hours to curtail excessive heat build-up that may lead to deterioration of stored grains and possible structural failure. 

Alabadan B.A. (2006): Temperature changes in bulk stored maize. AU Journal of Technology, 9: 187–192.
Casada M.E. (2000). Adapting a grain storage model in a 2-D generilised coordinate system. ASAE Annual International Meeting: 1–14.
Carslaw H.S., Jaeger J.C. (1959): Conduction of Heat in Solids. 2nd edition. Clarenden Press, Oxford.
David F.G. (1986): Dynamics of viscoelastic studies: a time domain finite element formulation. UTIAS report, No. 301. Institute for Aerospace studies, University of Toronto, XI.
Jia Canchun, Sun Da-Wen, Cao Chongwen (2001): Computer simulation of temperature changes in a wheat storage bin. Journal of Stored Products Research, 37, 165-177
Laszlo R., Adrian T. (2009): Simulation of changes in a wheat storage bin regarding temperature, Analele Universităţii Din Oradea, Fascicula:Protecţia Mediului, 14: 239–244.
Lawrence J., Maier D.E., Stroshine R.L. (2013): Three-dimensional transient heat, mass, momentum, and species transfer in the stored grain ecosystem: Part II. Model validation. Transaction of the American Society of Agricultural and Biological Engineering, 56, 181–201.
Lawrence J., Maier D. E. (2012): Prediction of temperature distributions in peaked, Leveled and inverted cone grain mass configurations during aeration of corn. Applied Engineering in Agriculture, American Society of Agricultural and Biological Engineers, 28: 685–692.
Lo K.M., Chen C.S., Clayton J.T., Adrian D.D. (1975): Simulation of temperature and moisture changes in wheat storage due to weather variability. Journal of Agricultural Engineering Research, 20, 47-53
Moran J. M., Aguado P. J., Ayuga F., Guaita M., Juan A. (2012): Effects of thermal loads on agricultural silos. 15th ASCE Engineering Mechanics Conference, June 2–5, Columbia University, New York: 1–8.
Sadhere R.C. (1993). Fundamentals of Engineering Heat and Mass Transfer. India, Wiley, Eastern Limited.
Yang W., Jia C.C., Siebenmorgen T. J., Howell T. A., Cnossen A. G. (2002): Intra–kernel moisture responses of rice to drying and tempering treatments by finite–element simulation. Transaction of the American Society of Agricultural and Biological Engineering, 45: 1037–1044.
Zhang L., Chen X., Liu H., Peng W., Zhang Z., Ren G. (2016): Experiment and simulation research of storage for small grain steel silo. International Journal Agricultural and Biological Engineering, 9: 170–178.
download PDF

© 2022 Czech Academy of Agricultural Sciences | Prohlášení o přístupnosti