상세 보기
Prediction of the intermittent drying behavior of soybeans [Glycine max (L.)] using novel multilayered mass transfer simulation with an image analysis
- Park, Hyeon Woo;
- Yoon, Won Byong
Citations
WEB OF SCIENCE
19Citations
SCOPUS
23초록
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 dynamics; image analysis; intermittent drying; mass transfer simulation; Soybean; COMPUTATIONAL FLUID-DYNAMICS; EPSILON TURBULENCE MODEL; SOLANUM-TUBEROSUM L.; MOISTURE TRANSFER; FOOD-INDUSTRY; HOT-AIR; HEAT; APPLICABILITY; VISION; RICE
- 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 Woo; Yoon, Won Byong
- 발행일
- 2019-07-27
- 유형
- Article
- 권
- 37
- 호
- 10
- 페이지
- 1228 ~ 1238