• 제목/요약/키워드: drying constants

검색결과 24건 처리시간 0.023초

Predictive Thin Layer Drying Model for White and Black Beans

  • Kim, Hoon;Han, Jae-Woong
    • Journal of Biosystems Engineering
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    • 제42권3호
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    • pp.190-198
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    • 2017
  • Purpose: A thin-layer drying equation was developed to analyze the drying processes of soybeans (white and black beans) and investigate drying conditions by verifying the suitability of existing grain drying equations. Methods: The drying rates of domestic soybeans were measured in a drying experiment using air at a constant temperature and humidity. The drying rate of soybeans was measured at two temperatures, 50 and $60^{\circ}C$, and three relative humidities, 30, 40 and 50%. Experimental constants were determined for the selected thin layer drying models (Lewis, Page, Thompson, and moisture diffusion models), which are widely used for predicting the moisture contents of grains, and the suitability of these models was compared. The suitability of each of the four drying equations was verified using their predicted values for white beans as well as the determination coefficient ($R^2$) and the root mean square error (RMSE) of the experiment results. Results: It was found that the Thompson model was the most suitable for white beans with a $R^2$ of 0.97 or greater and RMSE of 0.0508 or less. The Thompson model was also found to be the most suitable for black beans, with a $R^2$ of 0.97 or greater and an RMSE of 0.0308 or less. Conclusions: The Thompson model was the most appropriate prediction drying model for white and black beans. Empirical constants for the Thompson model were developed in accordance with the conditions of drying temperature and relative humidity.

보리의 건조특성(乾燥特性)과 건조온도(乾燥温度) 및 함수율(含水率)이 정맥수율(精麥收率)에 미치는 영향(影響) (Drying Characteristics of Barley and the Effect of Moisture Content and Drying Temperature on Milling Recovery)

  • 이용국;김삼도;박승제
    • Journal of Biosystems Engineering
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    • 제8권2호
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    • pp.62-68
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    • 1983
  • This study was to examine the drying characteristics of barley and the effect of moisture content of barley on milling performance. A barley variety, Jogang, having 35.0% of initial moisture content was used for this experiment. Thermo-hydrostatic dryer which consists of blower, condensor, heater, humidifier, drying chamber and control box, etc., was used for the drying experiment. The change in the weight of a barley sample was continuously measured by means of the ring type load cell installed inside the drying chamber. Milling test runs the samples having the predetermined moisture content were taken from each drying test run. A laboratory type barley miller was used for the milling test. The results of the study are summarized as follows: 1. The drying constants (k) applied for the thin layer drying model, (M-Me)/(Mo-Me) = $Ae^{-kt}$ were 0.155, 0.259 and 0.548, respectively, at the three levels of drying temperatures, $40^{\circ}C$, $50^{\circ}C$ and $60^{\circ}C$. The drying constants complied with the Arrhenius Equation, K = Ko exp (-C/T), were determined as $Ko=1.901455{\times}10^8$ and C = 6563. 2. The laboratory milling test indicated that the highest milled and head barley recovery was resulted from the sample which was dryed at $40^{\circ}C$. In general, the increase in the drying temperature from $40^{\circ}C$ to $60^{\circ}C$ indicated a negative effect on milling yields. 3. Also, the sample having 15% M.C. presented the highest milled and head barley recovery among the five moisture content levels (12, 15, 18,21 and 24%).

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Thin Layer Drying Model of Sorghum

  • Kim, Hong-Sik;Kim, Oui-Woung;Kim, Hoon;Lee, Hyo-Jai;Han, Jae-Woong
    • Journal of Biosystems Engineering
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    • 제41권4호
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    • pp.357-364
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    • 2016
  • Purpose: This study was performed to define the drying characteristics of sorghum by developing thin layer drying equations and evaluating various grain drying equations. Thin layer drying equations lay the foundation characteristics to establish the thick layer drying equations, which can be adopted to determine the design conditions for an agricultural dryer. Methods: The drying rate of sorghum was measured under three levels of drying temperature ($40^{\circ}C$, $50^{\circ}C$, and $60^{\circ}C$) and relative humidity (30%, 40%, and 50%) to analyze the drying process and investigate the drying conditions. The drying experiment was performed until the weight of sorghum became constant. The experimental constants of four thin layer drying models were determined by developing a non-linear regression model along with the drying experiment results. Result: The half response time (moisture ratio = 0.5) of drying, which is an index of the drying rate, was increased as the drying temperature was high and relative humidity was low. When the drying temperature was $40^{\circ}C$ at a relative humidity (RH) of 50%, the maximum half response time of drying was 2.8 h. Contrastingly, the maximum half response time of drying was 1.2 h when the drying temperature was $60^{\circ}C$ at 30% RH. The coefficient of determination for the Lewis model, simplified diffusion model, Page model, and Thompson model was respectively 0.9976, 0.9977, 0.9340, and 0.9783. The Lewis model and the simplified diffusion model satisfied the drying conditions by showing the average coefficient of determination of the experimental constants and predicted values of the model as 0.9976 and Root Mean Square Error (RMSE) of 0.0236. Conclusion: The simplified diffusion model was the most suitable for every drying condition of drying temperature and relative humidity, and the model for the thin layer drying is expected to be useful to develop the thick layer drying model.

Modeling for Vacuum Drying Characteristics of Onion Slices

  • Lee, Jun-Ho;Kim, Hui-Jeong
    • Food Science and Biotechnology
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    • 제18권5호
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    • pp.1293-1297
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    • 2009
  • In this study, drying kinetics of onion slices was examined in a laboratory scale vacuum dryer at an air temperature in a range of $50-70^{\circ}C$. Moisture transfer from onion slices was described by applying the Fick's diffusion model, and the effective diffusivity was calculated. Temperature dependency of the effective diffusivity during drying process obeyed the Arrhenius relationship. Effective diffusivity increased with increasing temperature and the activation energy for the onion slices was estimated to be 16.92 kJ/mol. The experimental drying data were used to fit 9 drying models, and drying rate constants and coefficients of models tested were determined by non-linear regression analysis. Estimations by the page and Two-term exponential models were in good agreement with the experimental data obtained.

마이크로파 가열에 의한 도금슬러지 건조특성 (Drying Characteristics of Plating Sludge by Microwave)

  • 문경환;손종렬;김덕찬
    • 환경위생공학
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    • 제13권1호
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    • pp.9-15
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    • 1998
  • Microwave heating and drying processes have been well established in various industrial applications. Feasibilities of successful application of microwave drying to many material have been shown on the laboratory or pilot-plant scale. The microwave drying behavior of plating sludge are considered in this paper. The plating sludge containing 70%, 80% and 90% water exposed to microwave power at 2,450 MHz, 700W. An experimental microwave drying apparatus was designed and constructed to monitor weight loss during drying. By studying the drying characteristic curve, the moisture in sludge was almost classified into two categories : free moisture and intestinal moisture. And the critical moisture contents at which the drying rate ceases to be constant were from 10.1 to 10.5%. A simple drying model is proposed which may be used to describe drying behavior of plating sludge. The constant rate and the falling rate periods in microwave drying were addressed separately. From the eqation of constant rate period the drying rate constants decreased exponentially with increasing depth. Microwave heating compared with conventional heating offered higher heating rates from 9 to 16 times. Therefore, microwave drying process can be effective in removing moisture from plating sludge.

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Thin-layer Drying Characteristics of Rapeseed

  • Lee, Hyo-Jai;Lee, Seung-Kee;Kim, Hoon;Kim, Woong;Han, Jae-Woong
    • Journal of Biosystems Engineering
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    • 제41권3호
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    • pp.232-239
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    • 2016
  • Purpose: The aims of this study were to define the drying characteristics of rapeseed and to determine the optimum thin-layer drying model for rapeseed by considering the effects of drying temperature and relative humidity. Methods: The thin-layer drying experiments were conducted at different combinations of drying air temperature levels of 40, 50, and $60^{\circ}C$ and relative humidity levels of 30, 45, and 60%, on both of which drying rate depends. The drying rate increased with increasing air temperature as well as decreasing relative humidity. The 13 models were fitted to the experimental data. Results: From the results of the regression analysis for empirical constants of the Page model, the values of $R^2$ were the highest (ranging from 0.9924 to 0.9966) and the values of RMSE were the lowest (ranging from 0.0169 to 0.0296). Conclusions: For all drying conditions considered, the Page model was determined to be the most suitable model for describing the thin-layer drying of rapeseed (P-value < 0.01). The moisture diffusion coefficients were calculated using the moisture diffusion equation for a spherical shape, based on Fick's second law.

DRYING CHARACTERISTINCS OF THIN-LAYERS OF WHEAT AND BARLEY AT NEAR-AMBIENT TEMPERATURE

  • Sun, Da-Wen;J.J.Woods
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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    • pp.896-905
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    • 1993
  • Thin-layers of wheat and barley are dried at near-ambient temperatures(3.5$^{\circ}C$ -5$0^{\circ}C$) in order to obtain the intrinsic drying data. The well established apparatus was modified to enable it to record all the sample weight data in still air by using a purpose -built automatically controlled sliding valve. The air could be diverted in less than 0.5seconds and a 7 second period was required to attain a steady weight reading. With this apparatus, very smooth drying curves were obtained. The data of sample weight , drying temperature and dew point temperature wee recorded continuously . The drying process was terminated when the moisture content change in 24 hours was less than 0.004 d.b. This was achieved by drying a sample for about a week . The final points were recorded as the dynamic equilibrium moisture content(EMC). The drying data were than fitted to the exponential Newton model and the dynamic EMC data were fitted to the Modified-Chung-Pfost Model . All the fitted parameters are given and comparison is made with previous published data. The comparisons who that the current drying constants are lower than the previous data, the dynamic EMC data obtained for wheat and barely agree with the previous data. The results show that to obtain the drying constant in the exponential Newton model, adequate drying time is necessary.

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Drying Kinetics of Onion Slices in a Hot-air Dryer

  • Lee, Jun-Ho;Kim, Hui-Jeong
    • Preventive Nutrition and Food Science
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    • 제13권3호
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    • pp.225-230
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    • 2008
  • Onion slices were dehydrated in a single layer at drying air temperatures ranging from $50{\sim}70^{\circ}C$ in a laboratory scale convective hot-air dryer at an air velocity of 0.66 m/s. The effect of drying air temperature on the drying kinetic characteristics were determined. It was found that onion slices would dry within $210{\sim}460\;min$ under these drying conditions. Moisture transfer during dehydration was described by applying the Fick's diffusion model and the effective diffusivity changed between $1.345{\times}10^{-8}$ and $2.658{\times}10^{-8}\;m^2/s$. A non-linear regression procedure was used to fit 9 thin layer drying models available in the literature to the experimental drying curves. The Logarithmic model provided a better fit to the experimental drying data as compared to other models. Temperature dependency of the effective diffusivity during the hot-air drying process obeyed the Arrhenius relationship with estimated activation energy being 31.36 kJ/mol. The effect of the drying air temperature on the drying model constants and coefficients were also determined.

당근의 삼투건조시 물질이동 특성 (Mass Transfer Characteristics in the Osmotic Dehydration Process of Carrots)

  • 윤광섭;최용희
    • 한국식품과학회지
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    • 제27권3호
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    • pp.387-393
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    • 1995
  • 삼투건조시 물질이동 특성을 알아보기 위하여 수분과 용질의 이동을 확산식으로 평가하여 침지온도와 농도에 따른 영향을 조사하였으며 또한 품질변화 정도는 carotene 함량을 지표로 하여 반응속도식으로 구명하고자 하였으며 삼투공정시 수분의 이동을 기존의 건조모델로 표현하고자 적합도를 알아보았다. 수분손실이나 용질의 증가는 온도와 농도가 증가함에 따라 높은값을 보였으며 농도보다는 온도의 영향을 많이 받는 것으로 나타났다. 확산계수 또한 고온과 고농도에서 높은 값을 가져 확산이 빠르게 일어남을 알 수 있었다. 고온에서는 수분 손실이 용질의 증가보다 높아 용질의 확산계수가 수분의 확산계수보다 높았으며, 품질변화를 나타내는 반응속도상수는 온도의 증가보다 농도의 증가에 따라 더 큰 값을 가져 고농도에서 파괴가 많이 일어남을 알 수 있었다. 확산계수와 품질변화 속도상수에 대한 온도의 영향을 알아보고자 Arrhenius 식에 적합시켜 본 결과 낮은 농도인 $20^{\circ}Brix$에서 확산에 많은 활성화에너지가 필요하고 고농도인 $60^{\circ}Brix$에서는 상대적으로 낮은 활성에너지로도 용질의 확산이 일어난다는 것을 알 수 있었고 활성화 에너지의 크기로 보아 수분의 이동은 $40^{\circ}Brix$에서, 용질의 이동은 $60^{\circ}Brix$에서 이동이 효과적으로 일어남을 알 수 있었다. 침지온도와 농도를 독립변수로 하여 확산계수와 반응속도상수를 예측하고자 각 독립 변수의 최적함수를 구하여 수립한 최적 함수 모델식과 polynomial 형태로 모델화 하였을 경우 수분이나 용질의 확산계수는 높은 적합도를 결정계수를 가지나 품질변화를 나타내는 반응속도강수는 다소 낮아 온도와 농도의 함수로 예측하기에는 미흡한 것으로 나타났다. 삼투건조 공정 중 수분의 이동을 시간의 함수로 표현하기 위한 가장 적합한 모델은 quadratic 모델의 $R^{2}$값이 침지온도와 농도에 관계없이 전반적으로 0.99 이상으로 나타나 다른 모델보다 더 높은 적용 가능성을 보였다. 따라서 quadratic 모델을 이용하여 삼투건조공정에서의 시간에 따른 수분함량을 예측할 수 있으며 확산계수와 아울러 물질이동 특성을 나타낼 수 있을 것으로 생각된다.

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곡류 및 버섯류의 평형함수율 및 박층건조방정식에 관한 연구(I) -벼의 박층건조방정식 - (Equilibrium Moisture Contents and Thin Layer Drying Equations of Cereal Grains and Mushrooms (I) - Thin Layer Drying Equations of Short Grain Rough Rice -)

  • 금동혁;박춘우
    • Journal of Biosystems Engineering
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    • 제22권1호
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    • pp.11-20
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    • 1997
  • Thin layer drying tests of short gain rough rice were conducted in an experimental dryer equiped with air conditioning unit. The drying tests were performed in triplicate at three air temperatures of $35^circ$, $45^circ$, $55^circ$, and three relative humidities of 40%, 55%, 70%, respectively. Previously published thin layer equations were reviewed and four different models widely used as thin layer drying equations for cereal grains were selected. The selected four models were Pages, simplified diffusion, Lewis's and Thompson's models. Experimental data were fitted to these equations using stepwise multiple regression analysis. The experimental constants involved in tow equations were represented as a function of temperature and relative humidity of drying air. The results of comparing coefficients of determination and root mean square errors of miosture ratio for low equations showed that Page's and Thompsons models were found to fit adequately to all drying test data with coefficient of determination of 0.99 or better and root mean square error of moisture ratio of 0.025.

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