• Title/Summary/Keyword: Drying Model

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Development of Continuous Cross-Flow Rice Drying Model and Drying Speed Control System Using Fuzzy Logic(II) - Drying Speed Control - (벼의 횡류 연속식 건조 모델 개발과 퍼지논리를 이용한 건조 속도 제어에 관한 연구(II) - 건조속도제어 -)

  • 송대빈;고학균;조성인
    • Journal of Biosystems Engineering
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    • v.23 no.5
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    • pp.457-464
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    • 1998
  • A drying speed control system using fuzzy logic was developed in order to minimize the damage of rice quality for a large capacity continuous dryer. The performance of the system was tested at two object moisture content of 17% and 25% on a wet basis. For object moisture content of 17% on a wet basis, the final output moisture contents from 20.46%, 20.96%, 18.98% on a wet basis were 17.99%, 17.6% and 17.23% on a wet basis, respectively. For object moisture content of 25% on a wet basis, the final output moisture contents from 28.85%, 26.95%, 28.11%, 27.8% on a wet basis were 25.24%, 24.9%, 25.23% and 25.09% on a wet basis, respectively.

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Development of Fast Dissolving Tablet Containing Herb Extract by Freeze-Drying Technique

  • Kim, Jae-Il;Choi, Hoo-Kyun
    • Journal of Pharmaceutical Investigation
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    • v.40 no.3
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    • pp.161-166
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    • 2010
  • A fast dissolving tablet was developed using the freeze-drying technique. Hyeonggaeyeongyotang was selected as a model oriental medicine. Formulation and processing parameters were studied to obtain freeze-dried tablet with high drug loading, good palatability, and fast disintegration time. $Kollidon^{(R)}$ CLM served as both matrix former and taste masking agent. Ethanol used as co-solvent, decreased the disintegration time of tablet. Aspartame was employed to impart better taste. Drying condition was found to have a major effect in the morphology of the tablets. Freeze-drying process was optimized to decrease the processing time and improve the appearance of the tablets.

Drying Characteristics of Strawberry Fruit Leather

  • Lee, Gwi-Hyun
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • v.10 no.2
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    • pp.137-145
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    • 2005
  • The effects of air temperature and sample thickness on drying kinetics of strawberry leather were investigated. The mathematical modeling was performed by using three thin-layer dying models. The independent variables were sample thickness (S1 = 1.8, S2 = 2.7, and S3 = 3.6mm) and air temperature (50, 60, 70, and 80$^{\circ}$C). All samples took place in the falling rate period. The values of effective moisture diffusivity, D$_{eff}$ varied from 2.40 to 12.1$^{\times}$10-9m$^{2}$/s depending on drying conditions. The values of activation energy, E$_{a}$ were 35.57, 33.14, and 30.46 KJ/mol for each sample of S1, S2, and S3. The two-term exponential model was found to satisfactorily describe the thin-layer drying kinetics of strawberry leather.

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An apt material model for drying shrinkage and specific creep of HPC using artificial neural network

  • Gedam, Banti A.;Bhandari, N.M.;Upadhyay, Akhil
    • Structural Engineering and Mechanics
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    • v.52 no.1
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    • pp.97-113
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    • 2014
  • In the present work appropriate concrete material models have been proposed to predict drying shrinkage and specific creep of High-performance concrete (HPC) using Artificial Neural Network (ANN). The ANN models are trained, tested and validated using 106 different experimental measured set of data collected from different literatures. The developed models consist of 12 input parameters which include quantities of ingredients namely ordinary Portland cement, fly ash, silica fume, ground granulated blast-furnace slag, water, and other aggregate to cement ratio, volume to surface area ratio, compressive strength at age of loading, relative humidity, age of drying commencement and age of concrete. The Feed-forward backpropagation networks with Levenberg-Marquardt training function are chosen for proposed ANN models and same implemented on MATLAB platform. The results shows that the proposed ANN models are more rational as well as computationally more efficient to predict time-dependent properties of drying shrinkage and specific creep of HPC with high level accuracy.

Study on CFD Analysis of Dying Plant with Rotary Kiln Type for Eco-Industrial Park (로타리 킬른형 건조로 열유동 해석에 관한 연구)

  • Kang, Woo-Jung;Hwang, Joon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.8 no.4
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    • pp.61-68
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    • 2009
  • This paper presents the numerical analysis of process of sludge drying to know the characteristics of design parameters and develop the new process plant. Finite volume method and $k-{\varepsilon}$ turbulence model were used to analogy the sludge drying furnace. It has been attempted to perform the disposal of sewage sludge such as simple reclaiming and dumping in sea and incineration. Currently, these methods are restricted by national or international government regulations. The drying process is adopted as an effective method for sewage sludge treatment. However sewage sludge makes it difficult to treat with a large volume at the real drying process plant because of its own complicated physical, chemical, and thermal properties. The final design value of moisture content with 10% of the dried sludge can be obtained through the simulated outputs in this study.

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Stress Analysis for Differential Drying Shrinkage of Concrete (콘크리트의 부등건조수축으로 인한 응력의 해석)

  • 김진근;김효범
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1994.04a
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    • pp.155-162
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    • 1994
  • The drying shrinkage of concrete has a close relation to the water movement, Since the diffusion process of water in concrete is strongly dependent on the temperature and pore humidity, the process is highly nonlinear phenomena. It is shown that the analytical results of this study are in good agreement with experimental data in the literatures, and results calculated by BP-KX model. The internal stress caused by moisture distribution which was resulted from the diffusion process, was calculated quantitatively. The tensile stress which occurred in the drying outer zone mostly exceeded the tensile strength of concrete, and necessarily would result in crack formation.

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Thermal Analysis of Solar Utilization Dryer for Redpepper Drying (고추건조를 통한 태양열 건조기의 열성분석)

  • Lee, Tai-Kyu;Cho, Suh-Hyun;Jo, Duk-Ki;Chea, Young-Hi;Auh, Paul J.
    • Solar Energy
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    • v.9 no.2
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    • pp.14-21
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    • 1989
  • The heat transfer analysis is performed on unloaded solar utilization dryer, and thermal performance for a prototype model while drying red-pepper is also investigated. Results of theoretically derived thermal equations are in good agreement with experimental data. This constructed feature of the prototype demonstrates the excellent technical drying performance. Finally, this paper recommends the further work to develop advanced and economic solar utilization multi-purpose dryer.

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Development of Red Pepper Dryer -Simulation and Optimization- (고추 건조기(乾燥機)의 개발(開發)에 관한 연구(硏究) -시뮬레이션 및 최적화-)

  • Keum, D.H.;Choi, C.H.;Kim, S.Y.
    • Journal of Biosystems Engineering
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    • v.16 no.3
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    • pp.248-262
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    • 1991
  • Simulation model was developed to analyze drying process for tray type red pepper dryer and validated by experiments. This model could predict satisfactorily temperatures and moisture contents of red pepper and temperatures of drying air during drying. Optimize algorithm was developed to search control valiables (drying air temperature, air recycle ratio and air flow rate) of red pepper dryer based on a criterion of minimizing energy consumption under the constraint conditions that statisfied carotenoid retension of at least 210mg per 100g dry matter, the moisture content of bottom layer of 15% (d.b) and drying time of less than 35 hours. Step changes in drying air temperature and air recycle ratio were considered in the optimization. In single step in control variables, the difference of the moisture content between top layer and bottom layer was great and more fan power was required. As the drying trays were exchanged when the moisture content of bottom layer reached to 100% (d.b), fifty percent of energy was saved and the difference of moisture content was little. In double step changes in control variables, optimal conditions were found by changing the step when the moisture content of bottom layer reached to 100% (d.b) (about 19.8 hours from starting drying). Optimum air flow rate was $18.1cmm/m^2$. Optimum drying air temperature and air recycle ratio in the first step was $55.8^{\circ}C$ and 0.80, and in the second step $65.6^{\circ}C$ and 0.88, respectively. In triple step changes in control variables, the optimal conditions were found by changing the steps when the moisture content of bottom layer reached to 250% (d.b) and 150% (d.b). Optimal air temperatures were $66.2^{\circ}C$, $58.4^{\circ}C$ and $66.9^{\circ}C$, and optimal air recycle ratios were 0.778, 0.785, 0.862 at each step, respectively. Optimal air flow rate was $18.9cmm/m^2$. The best operating mode was triple step mode considering energy consumption, drying time, fan power, and quality of dried red pepper. When the triple step mode was used to dry the red pepper, the energy consumption was about 16.5%~57.2% less than that of the single step mode and the drying time was 6.6 hours shorter than that of the double step mode.

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Drying Characteristics of Sea Tangle Using Combination of Microwave and Far-Infrared Dryer

  • Han, Chung-Su;Kang, Tae-Hwan;Lee, Jeong-Hyeon;Won, Jin-Ho;Cho, Byeong-Hyo;Cho, Sung-Chan
    • Journal of Biosystems Engineering
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    • v.41 no.1
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    • pp.43-50
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    • 2016
  • Purpose: The present study is aimed at examining the drying characteristics of sea tangle through a combination of microwave and far-infrared drying experiment and finding the optimal drying conditions. Methods: Sea tangle was cleaned and cut into fine pieces (5mm) before they were subjected to combinational drying by microwave and far-infrared ray. The amount of specimen per drying is 2 kg. The finely cut pieces of sea tangle were preheated in a microwave dryer for three different lengths of time (10, 15, and 20 min). Subsequently, they were dried using a far-infrared dryer at tow temperatures ($90^{\circ}C$ and $100^{\circ}C$) at an air velocity of 0.8 m/s until the final moisture content reduced to 10%. Results: Sea tangle dried under the condition of 20 min of preheating in the microwave dryer and drying at $100^{\circ}C$ by the far-infrared dryer. Of the drying models verified in this study, the logarithmic model showed high accuracy with the coefficient of determination $R^2>0.7825$ and RMSE<0.1095. The rehydration ratio of sea tangle was the highest (12.87 g water/g dry matter) under the condition of 15 min of preheating in the microwave dryer and drying at $100^{\circ}C$ by the far-infrared dryer. The energy consumption for the combination of microwave and far-infrared drying was the lowest (4.78 kJ/kg water) under the condition of 20 min of preheating in the microwave dryer and drying at $100^{\circ}C$ by the far-infrared dryer. Conclusions: Considering the drying time, discoloration during drying, rehydration ratio, and energy consumption for the drying of sea tangle, the optimal drying conditions for high-quality sea tangle are 15 min of preheating in a microwave dryer and drying at $100^{\circ}C$ by a far-infrared dryer.

Absorption Characteristics and Prediction Model of Ginger Powder by Different Drying Methods (건조방법에 따른 생강분말의 흡습특성과 예측모델에 관한 연구)

  • Shin, Hae-Kyoung;Hwang, Sung-Hee;Youn, Kwang-Sup
    • Korean Journal of Food Science and Technology
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    • v.35 no.2
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    • pp.211-216
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    • 2003
  • Absorption characteristics of hot air-. vacuum-, and freeze-dried ginger powder were investigated. Monolayer moisture content as determined by GAB equation was $0.257{\sim}0.540\;H_2O/g$, showing higher significance than BET equation. Absorption enthalpy was calculated based on different drying methods and water activities. Absorption energy decreased with increasing water activity but was not affected by drying method. Isotherm curves showed a typical sigmoid form. Among models applied for predicting equilibrium moisture content, Caurie model was the best fit model for ginger powder, showing the lowest prediction deviation of $1.2{\sim}5.4%$, followed by Henderson then Bradley models. The prediction model equations for the moisture content were established by in(time), water activity, and temperature.