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Modeling of electrohydrodynamic drying process using response surface methodology.

Dalvand MJ, Mohtasebi SS, Rafiee S - Food Sci Nutr (2014)

Bottom Line: Moreover, response surface methodology (RSM) was used to build a predictive model in order to investigate the combined effects of independent variables such as applied voltage, field strength, number of discharge electrode (needle), and air velocity on moisture ratio, energy efficiency, and energy consumption as responses of EHD drying process.Three-levels and four-factor Box-Behnken design was employed to evaluate the effects of independent variables on system responses.The interior relationships between parameters were well defined by RSM.

View Article: PubMed Central - PubMed

Affiliation: Department of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, University of Tehran Karaj, Iran.

ABSTRACT
Energy consumption index is one of the most important criteria for judging about new, and emerging drying technologies. One of such novel and promising alternative of drying process is called electrohydrodynamic (EHD) drying. In this work, a solar energy was used to maintain required energy of EHD drying process. Moreover, response surface methodology (RSM) was used to build a predictive model in order to investigate the combined effects of independent variables such as applied voltage, field strength, number of discharge electrode (needle), and air velocity on moisture ratio, energy efficiency, and energy consumption as responses of EHD drying process. Three-levels and four-factor Box-Behnken design was employed to evaluate the effects of independent variables on system responses. A stepwise approach was followed to build up a model that can map the entire response surface. The interior relationships between parameters were well defined by RSM.

No MeSH data available.


Response surface for the efficiency as a function of (A) applied voltage and field strength and (B) applied voltage and number of discharge needle and (C) contour plot for the efficiency as a function of air velocity and field strength.
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fig04: Response surface for the efficiency as a function of (A) applied voltage and field strength and (B) applied voltage and number of discharge needle and (C) contour plot for the efficiency as a function of air velocity and field strength.

Mentions: Analyzing the contour plots for energy efficiency of high-voltage power supply during drying process was the best way to evaluate the relationships between responses, variables, and interactions that existed herein. The 3D response surfaces were plotted in Figure 4 as a function of the interactions of any two of the variables by holding the other one at its medium value. The entire relationships between independent variables and response can be better understood by examining the planned series of contour plots (Fig. 4) generated from the predicted model based on the model equation and by holding other variables in their constant values. Figure 4C revealed that air velocity did not show any significant effect on the energy efficiency of high-voltage power supply, whereas in Figure 4A and B number of discharge needles, field strength and applied voltage showed significant effect on the efficiency. Intensity of the air flow has an indirect impact on energy efficiency of high-voltage power supply. Variation in intensity of the air flow may lead to increase evaporation rate of the product and as a result consumed energy and energy efficiency may be changed. However, in this case, air velocity did not show any significant effect on the energy efficiency.


Modeling of electrohydrodynamic drying process using response surface methodology.

Dalvand MJ, Mohtasebi SS, Rafiee S - Food Sci Nutr (2014)

Response surface for the efficiency as a function of (A) applied voltage and field strength and (B) applied voltage and number of discharge needle and (C) contour plot for the efficiency as a function of air velocity and field strength.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4048605&req=5

fig04: Response surface for the efficiency as a function of (A) applied voltage and field strength and (B) applied voltage and number of discharge needle and (C) contour plot for the efficiency as a function of air velocity and field strength.
Mentions: Analyzing the contour plots for energy efficiency of high-voltage power supply during drying process was the best way to evaluate the relationships between responses, variables, and interactions that existed herein. The 3D response surfaces were plotted in Figure 4 as a function of the interactions of any two of the variables by holding the other one at its medium value. The entire relationships between independent variables and response can be better understood by examining the planned series of contour plots (Fig. 4) generated from the predicted model based on the model equation and by holding other variables in their constant values. Figure 4C revealed that air velocity did not show any significant effect on the energy efficiency of high-voltage power supply, whereas in Figure 4A and B number of discharge needles, field strength and applied voltage showed significant effect on the efficiency. Intensity of the air flow has an indirect impact on energy efficiency of high-voltage power supply. Variation in intensity of the air flow may lead to increase evaporation rate of the product and as a result consumed energy and energy efficiency may be changed. However, in this case, air velocity did not show any significant effect on the energy efficiency.

Bottom Line: Moreover, response surface methodology (RSM) was used to build a predictive model in order to investigate the combined effects of independent variables such as applied voltage, field strength, number of discharge electrode (needle), and air velocity on moisture ratio, energy efficiency, and energy consumption as responses of EHD drying process.Three-levels and four-factor Box-Behnken design was employed to evaluate the effects of independent variables on system responses.The interior relationships between parameters were well defined by RSM.

View Article: PubMed Central - PubMed

Affiliation: Department of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, University of Tehran Karaj, Iran.

ABSTRACT
Energy consumption index is one of the most important criteria for judging about new, and emerging drying technologies. One of such novel and promising alternative of drying process is called electrohydrodynamic (EHD) drying. In this work, a solar energy was used to maintain required energy of EHD drying process. Moreover, response surface methodology (RSM) was used to build a predictive model in order to investigate the combined effects of independent variables such as applied voltage, field strength, number of discharge electrode (needle), and air velocity on moisture ratio, energy efficiency, and energy consumption as responses of EHD drying process. Three-levels and four-factor Box-Behnken design was employed to evaluate the effects of independent variables on system responses. A stepwise approach was followed to build up a model that can map the entire response surface. The interior relationships between parameters were well defined by RSM.

No MeSH data available.