This research entails the study of heat and mass transfer of nanofluid flow in a fluidized bed dryer used in tea drying processes in presence of induced magnetic field. A mathematical model describing the fluid flow i...This research entails the study of heat and mass transfer of nanofluid flow in a fluidized bed dryer used in tea drying processes in presence of induced magnetic field. A mathematical model describing the fluid flow in a Fluidized bed dryer was developed using the nonlinear partial differential equations. Due to their non-linearity, the equations were solved numerically by use of the finite difference method. The effects of physical flow parameters on velocity, temperature, concentration and magnetic induction profiles were studied and results were presented graphically. From the mathematical analysis, it was deduced that addition of silver nanoparticles into the fluid flow enhanced velocity and temperature profiles. This led to improved heat transfer in the fluidized bed dryer, hence amplifying the tea drying process. Furthermore, it was noted that induced magnetic field tends to decrease the fluid velocity, which results in uniform distribution of heat leading to efficient heat transfer between the tea particles and the fluid, thus improving the drying process. The research findings provide information to industries on ways to optimize thermal performance of fluidized bed dryers.展开更多
This paper attempts to analyze the kinetics involved in the drying of green peas in‘with blanching’and‘without blanching’techniques.Blanching by hot water mixed with a solution of citric acid(0.1–0.2 mg/ml)at 70...This paper attempts to analyze the kinetics involved in the drying of green peas in‘with blanching’and‘without blanching’techniques.Blanching by hot water mixed with a solution of citric acid(0.1–0.2 mg/ml)at 70C–100C is the treatment provided to the samples of green peas.Experimental analysis shows that the moisture content in green peas of three different sizes is reduced at different temperatures and demonstrates the effect of the rate of drying of the moisture content.Under different diameters and temperatures,the parameters are analyzed using‘with blanching’and‘without blanching’techniques.It is observed that‘with blanching’process plays a significant role in the reduction of moisture content under different temperatures and diameters in a lesser time as compared to‘without blanching’.The operative activation energy and moisture diffusivity are described by using Fick’s law of diffusion.The calculation of effective moisture diffusivity can be done via the utilization of slope.The drying data is subjected to two models of mathematical nature:Simple Exponential model,and Page model.The performance of these models is examined by means of comparing the coefficient of determination(R2),chi-square(v2)and root mean square error(RMSE)between the experimental and forecasted value of moisture ratio obtained‘with blanching’and‘without blanching’.The experimental data was seen to be in accordance with the Page model.The comparisons of energy consumption,energy efficiency and also the cost of the drying processes for‘with blanching’and‘without blanching’have been accomplished to optimize and reduce process condition and the cost of the process,respectively.展开更多
文摘This research entails the study of heat and mass transfer of nanofluid flow in a fluidized bed dryer used in tea drying processes in presence of induced magnetic field. A mathematical model describing the fluid flow in a Fluidized bed dryer was developed using the nonlinear partial differential equations. Due to their non-linearity, the equations were solved numerically by use of the finite difference method. The effects of physical flow parameters on velocity, temperature, concentration and magnetic induction profiles were studied and results were presented graphically. From the mathematical analysis, it was deduced that addition of silver nanoparticles into the fluid flow enhanced velocity and temperature profiles. This led to improved heat transfer in the fluidized bed dryer, hence amplifying the tea drying process. Furthermore, it was noted that induced magnetic field tends to decrease the fluid velocity, which results in uniform distribution of heat leading to efficient heat transfer between the tea particles and the fluid, thus improving the drying process. The research findings provide information to industries on ways to optimize thermal performance of fluidized bed dryers.
文摘This paper attempts to analyze the kinetics involved in the drying of green peas in‘with blanching’and‘without blanching’techniques.Blanching by hot water mixed with a solution of citric acid(0.1–0.2 mg/ml)at 70C–100C is the treatment provided to the samples of green peas.Experimental analysis shows that the moisture content in green peas of three different sizes is reduced at different temperatures and demonstrates the effect of the rate of drying of the moisture content.Under different diameters and temperatures,the parameters are analyzed using‘with blanching’and‘without blanching’techniques.It is observed that‘with blanching’process plays a significant role in the reduction of moisture content under different temperatures and diameters in a lesser time as compared to‘without blanching’.The operative activation energy and moisture diffusivity are described by using Fick’s law of diffusion.The calculation of effective moisture diffusivity can be done via the utilization of slope.The drying data is subjected to two models of mathematical nature:Simple Exponential model,and Page model.The performance of these models is examined by means of comparing the coefficient of determination(R2),chi-square(v2)and root mean square error(RMSE)between the experimental and forecasted value of moisture ratio obtained‘with blanching’and‘without blanching’.The experimental data was seen to be in accordance with the Page model.The comparisons of energy consumption,energy efficiency and also the cost of the drying processes for‘with blanching’and‘without blanching’have been accomplished to optimize and reduce process condition and the cost of the process,respectively.