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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Solar Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Solar Energy
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Development and assessment of generalized drying kinetics in multi-tray solar cabinet dryer

Authors: Arun K. Raj; Simon Jayaraj;

Development and assessment of generalized drying kinetics in multi-tray solar cabinet dryer

Abstract

Abstract This work evaluates the feasibility and determines a generalized drying characteristic curve in an indirect mode multi-tray solar cabinet dryer. The study considers a combination of tray reordering pattern and dryer performance index (DPI) method to map the influence of four primary factors, which influence the drying kinetics into a generalized curve. Three levels of each of the four factors, such as the mass flow rate (0.03–0.05 kg/s), heat input (500–1000 W/m2), loading density (1.0–2.5 kg/m2), and flake thickness (2–8 mm), represent twelve different drying kinetic curves. Therefore, the DPI value corresponding to the generalized curve would directly indicate the dryer performance and reduce the complexity in assessing the agro-product samples' drying behaviour in multiple trays. This study was initially validated, and it highlighted the merits of a tray reordering pattern in achieving drying uniformity per batch. Dimensionless drying process time ( τ ), a function of drying constant ( k ) and drying time ( t ), resulted in a maximum percentage deviation of 27.93% among the twelve drying kinetic curves. In contrast, expressing the moisture ratio as a function of DPI and drying process time ( τ ) reduced the maximum percentage deviation to 2.33%, with the value of correlation coefficient ( r ) above 0.972 for all the twelve drying kinetic curves. These consolidated findings pointed out that the adopted tray reordering pattern greatly influences the DPI method’s success in establishing a generalized curve in a multi-tray dryer.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%