Hacihafizo?lu O.Kahvecg K.Cghan A.Akyol E.2024-06-122024-06-1220119.78162E+12https://hdl.handle.net/20.500.14551/177889th IASME / WSEAS International Conference on Fluid Mechanics and Aerodynamics, FMA'11, 9th IASME / WSEAS International Conference on Heat Transfer, Thermal Engineering and Environment, HTE'11 -- 23 August 2011 through 23 August 2011 -- Florence -- 87776Corn is one of the most important nutritious grains which has high moisture rates during harvest. Moisture content of 24-25% (db) at the harvest should be reduced below 14% (db) to prevent it from deterioration during storage. Drying process is generally performed by heating ambient air and then sending it by forced convection over the corn to be dried. The aim in heating air to a certain temperature is to reduce the relative humidity of the air, which has a positive effect on the drying potential. In this study, drying behavior of single layer corn for different drying air temperature (40-70°C) and drying air velocity 2 ms -1 was simulated by means of a liquid diffusion model numerically by a finite element modeling and simulation software. The results show that temperature is an effective factor on the drying rate. The results also show that as drying proceeds, a moisture gradient develops within the grain. This slows down the drying rate considerably. Therefore, it can be concluded that performing drying with an intermittent period instead of continuous drying will cause a considerable energy-saving.eninfo:eu-repo/semantics/closedAccessCorn; Drying; Finite Element Modeling; Liquid Diffusion; Moisture Content; SphereAmbient Air; Corn; Drying Air; Drying Behavior; Drying Process; Drying Rates; Effective Factors; Finite Element Modeling; Finite Element Simulations; High Moisture; Liquid Diffusion; Moisture Contents; Moisture Gradient; Positive Effects; Single Layer; Thin Layer Drying; Aerodynamics; Air; Behavioral Research; C (Programming Language); Computer Simulation; Computer Software; Diffusion In Liquids; Finite Element Method; Fluid Mechanics; Heat Transfer; Liquids; Mass Transfer; Moisture; Moisture Determination; Spheres; DryingFinite element simulation of thin layer drying of cornConference Object2882932-s2.0-83655181185N/A