Prediction of the intermittent drying behavior of soybeans [Glycine max (L.)] using novel multilayered mass transfer simulation with an image analysis

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초록

This study developed a multilayered moisture conservation model (MCM) to reflect the structural differences of soybean. The blue-channel image derived from image analysis revealed two different structure regimes in the soybeans. Computational fluid dynamics simulations were used to simulate the flow fields of the convective dryer and estimate the mass transfer coefficient from the local air velocity (2.04 m/s). The MCM accurately predicted the moisture changes of soybean during continuous and intermittent drying (RMSE <0.214). During an effective drying time of 600 min, increasing the intermittency from 0 to 0.5 decreased the moisture content from 8.04 to 6.57%.

키워드

Computational fluid dynamicsimage analysisintermittent dryingmass transfer simulationSoybeanCOMPUTATIONAL FLUID-DYNAMICSEPSILON TURBULENCE MODELSOLANUM-TUBEROSUM L.MOISTURE TRANSFERFOOD-INDUSTRYHOT-AIRHEATAPPLICABILITYVISIONRICE
제목
Prediction of the intermittent drying behavior of soybeans [Glycine max (L.)] using novel multilayered mass transfer simulation with an image analysis
저자
Park, Hyeon WooYoon, Won Byong
DOI
10.1080/07373937.2018.1493691
발행일
2019-07-27
유형
Article
저널명
Drying Technology
37
10
페이지
1228 ~ 1238