Electrohydrodynamic drying of sand

This study analyzes the electrohydrodynamic (EHD) drying characteristics of sand. Effect of process parameters (independent variables) including air speed, electrode gap, and applied voltage on drying kinetics and dependent variables including percentage water removed (%), Sherwood number, EHD numbe...

Full description

Saved in:
Bibliographic Details
Published in:Drying technology 2017-02, Vol.35 (3), p.312-322
Main Authors: Singh, Ashutosh, Vanga, Sai Kranthi Kumar, Raveendran Nair, Gopu, Gariepy, Yvan, Orsat, Valerie, Raghavan, Vijaya
Format: Article
Language:English
Subjects:
Dependent variables
Drying
Drying kinetics
electric field intensity
Electric fields
Electric potential
Electrodes
electrohydrodynamic drying
Energy consumption
Process parameters
Sand
specific energy consumption
Voltage
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study analyzes the electrohydrodynamic (EHD) drying characteristics of sand. Effect of process parameters (independent variables) including air speed, electrode gap, and applied voltage on drying kinetics and dependent variables including percentage water removed (%), Sherwood number, EHD number, and specific energy consumed (SEC) (kJ/kg) were also investigated using a central composite design and response surface methodology. Maximum drying was obtained for process parameter combination of air speed (2 m/s), electrode gap (1.5 cm), and applied voltage (15 kV). Air speed and electric field intensity (ratio of applied voltage to electrode gap) were found to have a significant effect on percentage water removed (%) and Sherwood number. In case of EHD number and SEC during the EHD drying process, all process parameters had a significant effect on them. The SEC increased with an increase in applied voltage but reduced with an increase in air speed at any given applied voltage suggesting that the EHD drying process, in combination with cross flow, will lead to higher drying rate and low energy consumption under ambient conditions. Regression models were also developed describing the relation between independent and dependent variables.
ISSN:0737-3937
1532-2300
DOI:10.1080/07373937.2016.1170028