Optimization of paddy rice drying using response surface methodology

The problems of drying in the paddy factory is lack of unuiformity drying in the paddy rice that creates stress temperature and moisture and thus will cause fractures in the later stages. The purpose of this research was to develop a performance history rice healthy white paddy drying in the shortest time.

The problems of drying in the paddy factory is lack of unuiformity drying in the paddy rice that creates stress temperature and moisture and thus will cause fractures in the later stages. The purpose of this research was to develop a performance history rice healthy white paddy drying in the shortest time.

The problems of drying in the paddy factory is lack of unuiformity drying in the paddy rice that creates stress temperature and moisture and thus will cause fractures in the later stages. The purpose of this research was to develop a performance history rice healthy white paddy drying in the shortest time.

In this study, to reduce losses and increase the drying rate of a rotary dryer machine utilizing the innovative laboratory. Response surface methods and central composite design software for modeling and design expert was used to obtain the optimum condition. Independent variables include temperature (40 to 80 °C), rotating cylinder rotation speed (2 to 10 rpm) and the full cylinder (25 to 66%) was rotary dryer. The quality parameters percentage of breakage, percentage of crack and drying time were used as response parameters to develop predictive models and optimize the drying process.

The results showed significant effects of the variables of interest on the amount of waste and the temperature has the greatest impact on the amount of waste and drying times, also decreased with increasing rotation speed drying time. The results of the optimization process with a minimum amount of waste (percentage of breakage and percentage of crack) and drying time in the inlet air temperature 56.53 °C, the speed of rotation of the cylinder 10 rpm and the full cylinder 54.20% was found.

The condition of drying process have important rule in final quality properties and waste of paddy rice. The study revealed that RSM could be used to develop adequate prediction models for describing quality changes in paddy rice during drying. The changes in the quality parameters were adequately described by quadratic model. Successful optimization for the paddy rice drying process can also be made using desirability functions in RSM