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논문 : 생물생산시설 및 환경공학 ; 원적외선과 열풍 건조조건에 따른 오징어의 건조특성
강태환 ( T. H. Kang ),홍현기 ( H. K. Hong ),전홍영 ( H. Y. Jeon ),한충수 ( C. S. Han ) 한국농업기계학회 2011 바이오시스템공학 Vol.36 No.2
Drying characteristics of squids under two dry conditions were investigated using far infrared and heated air. Dry temperatures of 40, 50 and 60℃ with air speed of 0.6, 0.8 and 1.2 m/s were used for evaluating far infrared squid drying. Heated air squid drying at 40 and 50℃ with air speed of 0.8 m/s was used as a control treatment. The two drying were evaluated in terms of drying rate, color, TBA value, aerobic bacteria, cutting shear, penetration strength, and energy consumption. The drying rate of far infrared drying was relatively faster than that of heated air drying. The drying time of far infrared drying was reduced as the drying temperature increased. The color difference of far infrared dried squids was from 18.81 to 22.85, and heated air dried squid had the color different from 23.94 to 24.09. Far infrared dried squid had relatively smaller TBA values that indicate a level of rancidity. The aerobic bacteria of heated air dried squid increased from 970×10(3) to 40,000×10(3) CFU/g before and after drying, respectively. Far infrared dried squid had relatively smaller increase (from 970×10(3) to 40,000×10(3) CFU/g). The cutting shear and penetration strength for far infrared dried squids was relatively lower. In addition, far infrared squid drying consumed relatively less energy compared to heated air drying.
CAA를 이용한 소형 직류팬의 유동소음 및 예측에 관한 연구
전완호(W. H. Jeon),임태균(T. G. Lim),홍현기(H. K. Hong),御法川 學(Gaku Minorikawa) 한국전산유체공학회 2012 한국전산유체공학회 학술대회논문집 Vol.2012 No.11
The paper describes the prediction method for the unsteady flow field and the aeroacoustic noise of an small axial fan. The prediction method is comprised of various CFD conditions and acoustic analogy by using Ffowcs Williams-Hawkings equation. The tested fan was an axial fan with impeller outside diameter 170 mm and 5 blades. Virtual anechoic room which has same size with real one was used for CFD. URANS and LES turbulence models were used and optimized mesh was selected with mesh dependence study. Calculation conditions were also studied such as time step and sampling time of noise analysis. In this paper, we got optimum analysis conditions and computational results, their results were compared with measured ones.