In this study, single-layer drying behaviour of corn is simulated by liquid diffusion model by using the experimental data for drying temperatures between 40 and 70 °C and for a drying rate of 2 m/s. Three different geometries representing a corn grain, slab, sphere, and cylinder are taken into consideration to specify the geometry which yields best results. The drying curves are obtained by minimizing the sum of squared differences between experimental data and theoretical predictions. Results show that drying behaviour of corn can be modelled reasonably by liquid diffusion model and that the solution based on sphere geometry is in better agreement with the experimental drying behaviour as compared with other geometries. The results also show that the temperature and the movement velocity of moisture from the inner part of corn grains towards the outer part have a quite significant effect on the drying rate.
In the first part of this study, the drying behavior of wool-acrylic yarn bobbins was investigated by a theoretical model and genetic algorithm method. Each candidate solution for Do, D1 and D2 was presented on a single chromosome. The values of Do, D1 and D2 yielding the best fit between the experimental and predicted moisture contents were obtained using the genetic algorithm. In the second part of this study, the suitability of various empirical and semiempirical models in the modeling of the drying process was investigated by the genetic algorithm. The population number was taken as 30 and the tournament selection method was used. The calculations were performed until the 20th generation for the theoretical model and 100th generation for the empirical and semiempirical models. The results show that the genetic algorithm can be successfully used in the modeling of the drying process of yarn bobbins. The results also show that the Verma et al. and Diffusion Approach models yield the best fit with experimental data.
In this study, intermittent drying process of corn was studied numerically for various intermittent periods and drying air temperatures. An Arrhenius type diffusicoefficient D = e (-b/T) ⋅ 10-9 m 2 /s was proposed for the moisture diffusion inside the corn. Numerical simulations were performed by choosing the suitable value for drying constant, b, that yields the best agreement with experimental drying rates. The experimental results were obtained via an experimental setup for intermittent periods of 30 minute and 60 minute, and drying air temperatures of 40 °C, 50 °C, 60 °C, and 70 °C. The results show that overall agreement between the experimental and theoretical prediction is good. On the other hand, the theoretical results overestimate the moisture ratio at the initial stage and underestimate it at the later stage of drying.
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