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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 energy consumption 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 energy consumption as a function of air velocity and field strength.
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fig05: Response surface for the energy consumption 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 energy consumption as a function of air velocity and field strength.

Mentions: The 3D response surfaces were plotted in Figure 5, as a function of the interactions of any two of the variables by holding the other one at its medium value. All plots in Figure 5 showed similar relationships with respect to the effects of each variable. The responses obtained had nonlinear nature suggesting that there were well-defined optimum operating conditions with respect to field strength. However, the concavity was not high enough, as the surfaces were rather symmetrical and a little flat near the optimum condition (field strength = 5.2 kV/cm). The variations of energy consumption at different applied voltages are given in Figure 5A. It can be seen that energy consumption for different field strength increases some nonlinearly with increasing in applied voltage.


Modeling of electrohydrodynamic drying process using response surface methodology.

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

Response surface for the energy consumption 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 energy consumption 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

fig05: Response surface for the energy consumption 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 energy consumption as a function of air velocity and field strength.
Mentions: The 3D response surfaces were plotted in Figure 5, as a function of the interactions of any two of the variables by holding the other one at its medium value. All plots in Figure 5 showed similar relationships with respect to the effects of each variable. The responses obtained had nonlinear nature suggesting that there were well-defined optimum operating conditions with respect to field strength. However, the concavity was not high enough, as the surfaces were rather symmetrical and a little flat near the optimum condition (field strength = 5.2 kV/cm). The variations of energy consumption at different applied voltages are given in Figure 5A. It can be seen that energy consumption for different field strength increases some nonlinearly with increasing in applied voltage.

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.