• Title/Summary/Keyword: Viscosity prediction

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Numerical Simulation of Buoyant flume Dispersion in a Stratified Atmosphere Using a Lagrangian Stochastic Model

  • Kim, Hyun-Goo;Noh, Yoo-Jeong;Lee, Choung-Mook;Park, Don-Bum
    • Journal of Mechanical Science and Technology
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    • v.17 no.3
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    • pp.440-448
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    • 2003
  • In the present paper, numerical simulations of buoyant plume dispersion in a neutral and stable atmospheric boundary layer have been carride out. A Lagrangian Stochastic Model (LSM) with a Non-Linear Eddy Viscosity Model (NLEVM) for turbulence is used to generate a Reynolds stress field as an input condition of dispersion simulation. A modified plume-rise equation is included in dispersion simulation in order to consider momentum effect in an initial stage of plume rise resulting in an improved prediction by comparing with the experimental data. The LSM is validated by comparing with the prediction of an Eulerian Dispersion Model (EDM) and by the measured results of vertical profiles of mean concentration in the downstream of an elevated source in an atmospheric boundary layer. The LSM predicts accurate results especially in the vicinity of the source where the EDM underestimates the peak concentration by 40% due to inherent limitations of gradient diffusion theory. As a verification study, the LSM simulation of buoyant plume dispersions under a neutral and stable atmospheric condition is compared with a wind-tunnel experiment, which shows good qualitative agreements.

Evaluation of URANS Turbulence Models through the Prediction of the Flow around a Circular Cylinder (원형 실린더 주위의 유동해석을 통한 URANS 난류 모델 성능 비교)

  • Kim, Minjae;Shin, Jihwan;Kwon, Laeun;Lee, Kurnchul
    • Journal of the Korea Institute of Military Science and Technology
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    • v.17 no.6
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    • pp.861-867
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    • 2014
  • In the present study, the flow around a circular cylinder at $Re=3.6{\time}10^6$ is numerically simulated using URANS approach. The objective of this study is to evaluate the turbulence models(Realizable k-${\varepsilon}$, RNG k-${\varepsilon}$) through the prediction of the unsteady flow characteristics around the cylinder. The time-averaged drag coefficients and vortex shedding phenomenon in the wake region are compared to available experimental data and other numerical results. The simulation with Realizable k-${\varepsilon}$ model is found to be more dissipative due to large eddy viscosity predicted in the wake region while the simulation with RNG k-${\varepsilon}$ model predicts a complex vortex shedding phenomenon with more coherent structures realistically.

Developing of low Reynolds number k-.epsilon. model with improved .epsilon. equation (소산율 방정식의 개선을 통한 저레이놀즈수 k-.epsilon. 모형의 개발)

  • Song, K.;Yoo, G.J.;Cho, K.R.
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.22 no.5
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    • pp.685-697
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    • 1998
  • Series of recent k-.epsilon. model modification have been carried out with the aid of DNS data to include the effect of near wall. Though these methods opened new way of turbulence modelings, newly developed turbulence models of its kind had yet shortcomings in prediction for the turbulent flows with various Reynolds numbers and various geometric conditions. As a remedy for these shortcomings, a new k-.epsilon. model proposed here by improving the dissipation rate equation and the damping function for eddy viscosity model. The new dissipation rate equation was modeled based on the energy spectrum and magnitude analysis. The damping function for eddy viscosity was also formulated on the ground of distribution of dissipation rate length scales near a wall and the DNS data. The new k-.epsilon. model was applied to the fully developed turbulent flows in a channel and a pipe with a wide range of Reynolds numbers. Prediction results showed that the present model represents properly the turbulence properties in all turbulent regions over a wide range of Reynolds numbers.

Three-dimensional numerical simulation for the prediction of product shape in sheet casting process

  • Chae, Kyung-Sun;Lee, Mi-Hye;Lee, Seong-Jae;Lee, Seung-Jong
    • Korea-Australia Rheology Journal
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    • v.12 no.2
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    • pp.107-117
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    • 2000
  • Prediction of the product shape in sheet casting process is performed from the numerical simulation. A three-dimensional finite element method is used to investigate the flow behavior and to examine the effects of processing conditions on the sheet produced. Effects of inertia, gravity, surface tension and non-Newtonian viscosity on the thickness profile of the sheet are considered since the edge bead and the flow patterns in the chill roll region have great influence on the quality of the products. In the numerical simulation with free surface flows, the spine method is adopted to update the free surface, and the force-free boundary condition is imposed along the take-up plane to avoid severe singularity problems existing at the take-up plane. From the numerical results of steady isothermal flows of a generalized Newtonian fluid, it is shown that the draw ratio plays a major role in predicting the shape of the final sheet produced and the surface tension has considerable effect on the bead thickness ratio and the bead width fraction, while shear-thinning and/or tension-thickening viscosity affect the degree of neck-in.

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Physical Properties of the Factors Affecting the Evaporation Process of Fruit Juices (과일쥬스의 농축공정에 영향을 미치는 인자의 물리적 특성)

  • Eun, Duc-Woo;Choi, Yong-Hee
    • Korean Journal of Food Science and Technology
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    • v.23 no.5
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    • pp.605-609
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    • 1991
  • The physical properties which must be considered as engineering factors affecting on the evaporation process of fruit juices are boiling point rise, density, viscosity, thermal conductivity and specific heat. These factors are varied with food ingredients, soluble solids, pressure and temperature. In the reserch, it has been worked to obtain the data and to develop prediction model for the boiling point rise as a faction of soluble solid and pressure by the regression of SPSS package program. For the prediction model of density, it was developed as a fuction of soluble solid content on apple and pear juices. For the viscosity model, it was establised by the factors of temperature and content of soluble solid through the optimization program.

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A new method to estimate rheological properties of lubricating layer for prediction of concrete pumping

  • Jang, Kyong Pil;Kim, Woo Jae;Choi, Myoung Sung;Kwon, Seung Hee
    • Advances in concrete construction
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    • v.6 no.5
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    • pp.465-483
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    • 2018
  • The most crucial factor determining the pumping performance of concrete is the characteristics of the lubricating layer formed between the pipe wall and the inner concrete. Thus, it is important to accurately identify the rheological properties of the lubricating layer to predict the pumping of concrete. In this study, a new method is proposed for measuring the rheological properties of the lubricating layer with improved convenience. To verify the new method, a pumping test was conducted with 337 m-long horizontal piping. The rheological properties of the lubricating layer were assessed by a previously verified method and the new method proposed in this study for a total of four concrete mixtures with design strength ranging from 27 MPa to 60 MPa. The correlation between the existing method and the new method in relation to the viscosity of the lubricating layer was determined, and it was possible to predict the pumping performance with an accuracy of about 88.5% using the viscosity of the lubricating layer obtained from this correlation.

Frictional Pressure Drop of a Capillary Tube Flow of Pure HFC Refrigerants and Their Mixtures (HFC 순수냉매 및 혼합냉매의 모세관내에서 마찰에 의한 압력강하)

  • Chang, S.D.;Ro, S.T.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.7 no.4
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    • pp.589-599
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    • 1995
  • The frictional pressure drop of a capillary tube flow is experimentally investigated for pure refrigerants such as R32, R125, and R134a and refrigerant mixtures such as R32/R134a(30/70 by mass percent), R32/R125(60/40), R125/R134a(30/70), and R32/R125/R134a(23/25/52). The binary interaction parameters for the calculation of viscosities of refrigerant mixtures are found based upon the data in the open literature. Several homogeneous flow models predicting the viscosity of two-phase region are compared to select the best model. Cicchitti's equation is known to be the most adequate for the prediction of the viscosity for refrigerant mixtures, which is used in the analysis of adiabatic capillary flows. A model for the prediction of the frictional pressure drop of single and two-phase flow is developed for refrigerant mixtures in this study. This model may be used to design and analyze the performance of a capillary tube in the refrigerating system.

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Rheological Characteristics and Viscosity Prediction Models of Tomato Ketchup Suspensions (토마토케찹 현탁액의 리올로지 특성과 점성예측모델)

  • Ha, Sung-Kwon;Choi, Yong-Hee
    • Korean Journal of Food Science and Technology
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    • v.20 no.6
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    • pp.812-819
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    • 1988
  • Rheological properties of rehydrated suspensions of freeze dried tomato ketchup were measured by Brabender Viscotron at the temperature range of $30-90^{\circ}C$, at the concentration of 15-50%, and at the shear rate of $0-250sec^{-1}$. At the shear rate of $0-210sec^{-1}$, tomato ketchup was found to be a thixotropic food product. The values of flow behavior index, consistency index and yield stress at the shear rate of $0-210sec^{-1}$, at the temperature of $30^{\circ}C$ and at the concentration of 33% , were 0.2131, 22.5047 $Pa\;sec^{-n}$, and 8.544 Pa, respectively. It was found that the apparent viscosity model for temperature was expressed by Andrade model and the model for concentration was expressed by Power model, and the model for both temperature and concentration was described by exponential and power models. The activation energies at the concentrations of 15, 20, 30, 33, 40, and 50% were 3.973, 4.985. 5.078, 5.226, 5.357, and 7.655 $kcal/g{\cdot}mole$, respectively.

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Development of a Constituent Prediction Model of Domestic Rice Using Near Infrared Reflectance Analyzer(II) - Prediction of Brown and Milled Rice Protein Content and Brown Rice Yield from undried Paddy - (근적외선 분석계를 이용한 국내산 쌀의 성분 예측모델 개발(II) -생벼를 이용한 현미.백미의 단백질 함량과 현미수율 예측-)

  • 한충수;연광석;고과이랑
    • Journal of Biosystems Engineering
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    • v.23 no.3
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    • pp.253-258
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    • 1998
  • The part I was for developing regression models to predict the moisture content, protein content and viscosity of brown and milled rice using Near Infrared(NIR) Reflectance analyzer. The purpose of this study(part II) is to measure fundamental data required for the prediction of rice quality, and to develop regression models to predict the protein content of brown and milled rice, brown rice yield from undried paddy powder by using Near Infrared(NIR) Reflectance analyzer. The results of this study were summarized as follows : The predicted values of protein contents obtained from the undried paddy powder were well correlated to the measured values from brown and milled rice. The predicted yields of brown rice from undried paddy powder were not well correlated to the lab measured values from dried paddy. Continuous study in wavelength selection and of constituent relationship is necessary for practical application.

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Development of a Constituent Prediction Model of Domestic Rice Using Near Infrared Reflection Analyzer (II)-Prediction of Brown and Milled Rice Protein Content and Brown Rice Yield from Undried Paddy (근적외선 분석계를 이용한 국내산 쌀의 성분예측모델 개발(II)-생벼를 이용한 현미.백미의 단백질 함량과 현미수율 예측)

  • ;;J.R. Warashina
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1998.06b
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    • pp.171-177
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    • 1998
  • The part Ⅰ was for developing regression models to predict the moisture content, protein content and viscosity of brown and milled rice using Near Unfrared (NIR) Reflectance analyzer. The purpose of this study(part Ⅱ) is to measure fundamental data required for the prediction of rice quality , and to develop regression models to predict the protein content of brown and milled rice, brown rice yield from undreid paddy powder by using Near Infrared (NIR) Reflectance analyzer. The results of this study were summarized as follows . The predicted values of protein contents obtained from the undried paddy powder were will correlated to the measured values from brown and milled rice. The predicted yields of brown rice from undried paddy powder were not well correlated to be lab measured values from dried paddy. Continuous study in wavelength selection and of constituent relationship is necessary for practical application.

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