Limits...
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 moisture ratio (MR) 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 MR as a function of air velocity and field strength.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4048605&req=5

fig03: Response surface for the moisture ratio (MR) 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 MR as a function of air velocity and field strength.

Mentions: Although Table 3 shows higher value of R2 for full quadratic and cubic models, the difference between their and , are greater than 0.2. Hence, these models cannot well describe the experimental data. This predicted polynomial model was used to obtain 3D response surface and contour plot for all interactions (Fig. 3). Other independent variables were kept at the middle level to obtain these figures.


Modeling of electrohydrodynamic drying process using response surface methodology.

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

Response surface for the moisture ratio (MR) 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 MR 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

fig03: Response surface for the moisture ratio (MR) 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 MR as a function of air velocity and field strength.
Mentions: Although Table 3 shows higher value of R2 for full quadratic and cubic models, the difference between their and , are greater than 0.2. Hence, these models cannot well describe the experimental data. This predicted polynomial model was used to obtain 3D response surface and contour plot for all interactions (Fig. 3). Other independent variables were kept at the middle level to obtain these figures.

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.