Optimization of drying process for soybean oil seeds by Genetic algorithm method

Subject Areas :

Received: 2014-03-02 Accepted : 2014-05-18 Published : 2014-06-20

Keywords: Genetic Algorithm, Optimization, soybean, drying, acidity index,

Abstract :

We study drying process of soybean seeds DPX variety, Based on standard method. To research on drying properties and their effective factors drying parameters includes initial moisture content in three levels (16,18 and 21% on drying basis) , drying temperature in three levels ( 50, 65 and 80 Celsius) and air velocity in three levels ( 0.6,1, 1.5 m/s) on the oil quantity and acidity index ( as key important quality factor) have been explored. Result promises us that all three mentioned factors have important impacts on oil quantity and acidity index. Assuming that less drying oil quantity and acidity index is significant satisfactory, the process of drying has been optimized by utilizing Genetic algorithm approach. Since we obtain the highest oil product (20.5%) and the highest quality ( 0.82 acidity index), The best optimized solution in drying process meets with 16% initial moisture and 65 C and 1.5 m/s velocity as well