• Title/Summary/Keyword: Viscosity prediction

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Development of a Constituent Prediction Model of Domestic Rice Using Near Infrared Reflectance Analyzer(I) -Constituent Prediction Model of Brown and Milled Rice- (근적외선분석계를 이용한 국내산 쌀의 성분예측모델 개발(I) -현미와 백미의 성분예측모델-)

  • 한충수;동하원강
    • Journal of Biosystems Engineering
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    • v.21 no.2
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    • pp.198-207
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    • 1996
  • To measure the moisture content, protein and viscosity of brown and milled rice with Near Infrared Reflectance(NIR) analyzer, the comparison and analysis of the data from the chemical analysis and NIR analyzer were conducted. The purpose of this study is to find out the fundamental data required for the prediction of rice qualify and taste rank, and to develop a measuring method of constituents and physical characteristics of domestic rice with NIR analyzer. The important results can be summarized as follows. 1. The $r^2$ and SEC of moisture calibration from brown rice powder were 0.87 and 0.09 respectively, those of milled rice powder were 0.95 and 0.08 respectively. 2. The $r^2$ and SEC of protein calibration from brown rice powder were 0.83 and 0.20 respectively, those of milled rice powder were 0.86 and 0.20 respectively. 3. The $r^2$ and SEC of viscosity calibration from brown rice powder were 0.36 and 15.50 respectively, those of milled rice powder were 0.55 and 12.98 respectively. Further study is required to develop better prediction model for viscosity. It is necessary the continuous study including wavelength selection, because $r^2$ is small for practical use. 4. The regression equation for one rice variety was nearly coincident with other. Therefore, it is required that the prediction model should be developed for the all rice samples.

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Prediction of concrete pumping based on correlation between slump and rheological properties

  • Lee, Jung Soo;Kim, Eun Sung;Jang, Kyong Pil;Park, Chan Kyu;Kwon, Seung Hee
    • Advances in concrete construction
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    • v.13 no.5
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    • pp.395-410
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    • 2022
  • This study collected the results of material tests and full-scale pumping tests using 127 types of concrete mixtures with compressive strength ranging from 24 to 200 MPa. The results of 242 material tests showed high correlations between the viscosity of the lubricating layer and concrete, between the slump and the yield stress of concrete, between the water-binder ratio and the viscosity of lubricating layer, and between the time required to reach 500 mm of slump flow and concrete viscosity. Based on these correlations, pumpability was predicted using 101 pumping test conditions, and their accuracy was compared to the actual test results. When the rheological properties of concrete and the lubricating layer were directly measured, the prediction result showed the highest accuracy. A high accuracy can be achieved when the measured viscosity of the lubricating layer, a key determinant of concrete pumpability, is reflected in the prediction of pumpability. When measuring rheological properties is difficult, the slump test can be used to quantitatively predict the pumpability despite the lower accuracy than those of other prediction methods.

Prediction of Viscosity in Liquid Epoxy Resin Mixed with Micro/Nano Hybrid Silica (액상 에폭시 수지와 마이크로/나노 하이브리드 실리카 혼합물의 점도 예측)

  • Huang, Guang-Chun;Lee, Chung-Hee;Lee, Jong-Keun
    • Korean Journal of Materials Research
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    • v.21 no.2
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    • pp.100-105
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    • 2011
  • The relative viscosity was measured at different filler loadings for a cycloaliphatic epoxy resin and hexahydro-4-methylphthalic anhydride hardener system filled with micro/nano hybrid silica. Various empirical models were fitted to the experimental data and a fitting parameter such as critical filler fractions (${\phi}_{max}$) was estimated. Among the models, the Zhang-Evans model gave the best fit to the viscosity data. For all the silica loadings used, ln (relative viscosity) varied linearly with filler loadings. Using the Zhang-Evans model and the linearity characteristics of the viscosity change, simple methods to predict the relative viscosity below ${\phi}_{max}$ are presented in this work. The predicted viscosity values from the two methods at hybrid silica fractions of $\phi$ = 0.086 and 0.1506 were confirmed for a micro:nano = 1:1 hybrid filler. As a result, the difference between measured and predicted values was less than 11%, indicating that the proposed predicting methods are in good agreement with the experiment.

Viscosity Prediction of Synthetic Lubricants from Temperature and Pressure Dependence of Dielectric Relaxation Time

  • Suzuki, A.;Masuko, M.
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 2002.10b
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    • pp.355-356
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    • 2002
  • The dielectric permittance and the dielectric loss factor of several lubricating oils were measured at frequencies from 100 Hz to 1.5 MHz. The measurements were carried out under atmospheric pressure as a function of temperature and under fixed temperature as a function of pressure. Temperature and pressure dependence of dielectric relaxation time were investigated. The temperature dependence of relaxation time obeyed the Vogel-Fulcher-Tammann (VFT) law. We modified the VFT equation in order to express the dielectric relaxation time as a function of temperature and pressure. Furthermore. by taking into consideration the similarity of the temperature and pressure dependence between dielectric relaxation and mechanical relaxation. the prediction of high-pressure viscosity were conducted. The predicted results were compared with the viscosity data obtained from the falling-sphere type viscometer.

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Prediction of Transport Properties for Transportation of Captured CO2. 1. Viscosity (수송조건 내 포집 이산화탄소의 전달물성 예측. 1.점성)

  • Lee, Won Jun;Yun, Rin
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.29 no.4
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    • pp.195-201
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    • 2017
  • In this study, the viscosity of a $CO_2-gas$ mixture was investigated for the transportation of the captured $CO_2-gas$ in pipelines and for the designing of a thermal system, both of which involve the utilization of the $CO_2-gas$ mixture. The viscosities of the $CO_2-gas$ mixture, $CO_2+CH_4$, $CO_2+H_2S$, and $CO_2+N_2$ were predicted using three different models as follows : Chung, TRAPP, and REFPROP. The predictability values of the models were validated by comparing the estimated results with the experiment data for the $CO_2+CH_4$ and $CO_2+N_2$ under high-density conditions. The Chung model showed 2.41%, which is the lowest mean deviation of the prediction among the model. Based on the Chung model, the mixture mole fractions were changed from 0.9, 0.95, and 0.97, the mixture pressure was ranged from 80 bar to 120 bar by 10 bar, and the mixture temperature was varied from 310 K to 400 K by 10 K to observe the effects of the parameters on the mixture viscosity. Considering the high mole fraction of the $CO_2$ in the mixture, a significant variation of the mixture viscosity was observed close to the pseudo-critical temperature, and the viscosity for the $CO_2+H_2S$ mixture shows the highest values compared with those of the $CO_2+CH_4$ and $CO_2+N_2$.

Elastohydrodynamic Lubrication of Line Contacts Incorporating Bair & Winer's Limiting Shear Stress Rheological Model (한계전단응력형태의 Bair & Winer 리올로지 모델을 사용한 선접촉 탄성유체윤활해석)

  • 이희성;양진승
    • Tribology and Lubricants
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    • v.14 no.1
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    • pp.85-93
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    • 1998
  • The Bair & Winer's limiting shear stress rheological model is incorporated into the Reynolds equation to successfully predict the traction and film thickness for an isothermal line contact using the primary rheological properties. The modified WLF viscosity model and Barus viscosity model are also adapted for the realistic prediction of EHD tractional behavior. The influences of the limiting shear stress and slide-roll ratio on the pressure spike, film thickness, distribution of shear stress and nonlinear variation of traction are examined. A good agreement between the disc machine experiments and numerical traction prediction has been established. The film thickness due to non-Newtonian effects does not deviate significantly from the fdm thicknesss with Newtonian lubricant.

DSMC Simulation of Prediction of Organic Material Viscosity (DSMC 해석을 통한 유기 재료의 점성도 예측)

  • Jun, Sung Hoon;Lee, Eung Ki
    • Journal of the Semiconductor & Display Technology
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    • v.11 no.1
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    • pp.49-54
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    • 2012
  • There have been plenty of difficulties because properties of Alq3 are unable to acquire in a process of manufacture of OLED. In this paper it will predict a viscosity of Alq3 through DSMC technique and suggest the way regarding a study to estimate properties of material through the computer simulation. There could generate errors of a simulation process in a vacuum deposition process since the properties of material that is used in a high-degree vacuum environment are not secured. Therefore, we would like to propose the new methods that can not only predict properties of a molecular unit but also raise an accuracy of simulation process by forecasting properties of Alq3.

A Study on the Prediction of Transport Properties of Hydrocarbon Aviation Fuels Using the Methane-based TRAPP Method (Methane-based TRAPP method를 이용한 탄화수소 항공유의 전달 물성치 예측 연구)

  • Hwang, Sung-rok;Lee, Hyung Ju
    • Journal of ILASS-Korea
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    • v.27 no.2
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    • pp.66-76
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    • 2022
  • This study presents a prediction methodology of transport properties using the methane-based TRAPP (m-TRAPP) method in a wide range of temperature and pressure conditions including both subcritical and supercritical regions, in order to obtain thermo-physical properties for hydrocarbon aviation fuels and their products resulting from endothermic reactions. The viscosity and thermal conductivity are predicted in the temperature range from 300 to 1000 K and the pressure from 0.1 to 5.0 MPa, which includes all of the liquid, gas, and the supercitical regions of representative hydrocarbon fuels. The predicted values are compared with those data obtained from the NIST database. It was demonstrated that the m-TRAPP method can give reasonable predictions of both viscosity and thermal conductivity in the wide range of temperature and pressure conditions studied in this paper. However, there still exists large discrepancy between the current data and established values by NIST, especially for the liquid phase. Compared to the thermal conductivity predictions, the calculated viscosities are in better agreement with the NIST database. In order to consider a wide range of conditions, it is suggested to select an appropriate method through further comparison with another improved prediction methodologies of transport properties.

The Characteristics of Viscosity Behavior of EMC for Semi-conductor Encapsulant -The Prediction of Viscosity by Mooney Equation- (반도체 봉지제용 EMC의 점도거동 특성 연구 -Mooney식을 이용한 점도예측-)

  • Kim, In Beom;Bae, Doo Han;Lee, Myung Cheon;Lee, Euy Soo;Yun, Hyo Chang;Lim, Jong Chan
    • Applied Chemistry for Engineering
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    • v.10 no.6
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    • pp.949-953
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    • 1999
  • Because epoxy molding compound(EMC) for semi-conductor encapsulants contains high concentrations of fillers, its flow behaviors are affected much by the concentrations and properties of those fillers. This paper reports the effects of a filler concentration, shape, size, and size distributions on the viscosity behavior of EMC(epoxy/silica). In addition, the prediction of viscosity behavior was performed using the Mooney equation. The maximum packing volume in the Mooney equation was calculated by Ouchiyama's packing model and Taguchi's optimization method, while the shpae factor was determined by fitting the experimental data. The results showed that the Mooney equation predicted the viscosity behavior of EMC very well.

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INFLUENCE OF EDDY VISCOSITY COEFFICIENT ON ${\kappa}-{\varepsilon}$ TURBULENCE MODEL FOR SUPERSONIC BASE FLOW (초음속 기저부 유동에서 ${\kappa}-{\varepsilon}$ 난류 모델에 대한 와점성 계수의 영향)

  • Park, Soo-Hyung;Sa, Jeong-Hwan;Kim, Jee-Woong;Kwon, Jang-Hyuk;Kim, Chang-Joo
    • Journal of computational fluids engineering
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    • v.13 no.3
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    • pp.1-7
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    • 2008
  • A supersonic base flow is computed to investigate the effect of the eddy viscosity coefficient to the linear ${\kappa}-{\varepsilon}$ turbulence models. Slight modifications to the eddy viscosity coefficient, which are based on the realizability condition, are given to the Launder-Sharma turbulence model so that present models satisfy the realizability condition. Numerical results for supersonic base flow show that turbulence models with the weaky-nonlinear eddy viscosity coefficient can lead to reasonable enhancements in the prediction of the velocity and turbulent kinetic energy profiles.