• Tribology and Lubricants
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• v.7 no.2
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• pp.46-50
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• 1991

The Frictional behavior in single crystal (111) p-type silicon as influenced by electolytic solutions have been studied. Linear scratching by diamond indentor was carried out to show the variation of friction between silicon and diamond indentor immersed in electrolytic solutions. The results indicate that concentration of the solutions influence the fricational coefficient. In addition there is a correlation between measured zeta-potential and frictional coefficients. The zeta-potential in various concentrations was measured to estimate the variation of the Peierls energy. The proposed model predicts a minimum frictional coefficient near a concentration of $10^{-3}$ M/l NaOH in deionized water and explains the chemomechanical effect observed in this study.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.15 no.3
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• pp.1-5
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• 2007

In this paper, effective thermal conductivities of water-based Al203-nanofluids with low concentration from 0.01 vol. % to 0.3 vol. % are experimentally obtained by transient hot wire method (THWM). The water-based Al203-nanofluids are manufactured by two-step method which is widely used. To examine suspension and dispersion characteristics of the water-based A1203-nanofluids, Zeta potential as well as transmission electron micrograph (TEM) is observed. We confirm the manufactured Al203-nanofluids have good suspension and dispersion. The effective thermal conductivities of the water-based Al203-nanofluids with low concentration are enhanced up to 1.64% compared with that of DI water at $21^{\circ}C$. In addition, experimental results are compared with theoretical results from Jang and Choi model.

• Structural Engineering and Mechanics
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• v.22 no.5
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• pp.613-629
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• 2006

In this paper a recently developed scaled boundary finite element method (SBFEM) is applied to simulate stress concentration for two-dimensional structures. In addition, a simple and independent formulation for evaluating the coefficients, not only of the singular term but also higher order non-singular terms, of the stress fields near crack-tip is presented. The formulation is formed by comparing the displacement along the radial points ahead of the crack-tip with that of standard Williams' eigenfunction solution for the crack-tip. The validity of the formulation is examined by numerical examples with different geometries for a range of crack sizes. The results show good agreement with available solutions in literatures. Based on the results of the study, it is conformed that the proposed numerical method can be applied to simulate stress concentrations in both cracked and uncracked structure components more easily with relatively coarse and simple model than other computational methods.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.6
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• pp.616-628
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• 2000

In this paper, we present the modeling of the ozone prediction system using Neuro-Fuzzy approaches. The mechanism of ozone concentration is highly complex, nonlinear, and nonstationary, the modeling of ozone prediction system has many problems and the results of prediction is not a good performance so far. The Dynamic Polynomial Neural Network(DPNN) which employs a typical algorithm of GMDH(Group Method of Data Handling) is a useful method for data analysis, identification of nonlinear complex system, and prediction of a dynamical system. The structure of the final model is compact and the computation speed to produce an output is faster than other modeling methods. In addition to DPNN, this paper also includes a Fuzzy Logic Method for modeling of ozone prediction system. The results of each modeling method and the performance of ozone prediction are presented. The proposed method shows that the prediction to the ozone concentration based upon Neuro-Fuzzy approaches gives us a good performance for ozone prediction in high and low ozone concentration with the ability of superior data approximation and self organization.

• Journal of the Korean Society of Safety
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• v.35 no.3
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• pp.96-104
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• 2020

The numerical simulations were conducted to investigate the thermal-fluid phenomena occurred inside the experimental apparatus during a PCCS, used to remove heat released in accidents from a containment of light water nuclear power plant, operation. Numerical simulations of the flow and heat transfer caused by wall condensation inside the containment simulation vessel (CSV), which equipped with 18 vertical heat exchanger tubes, were conducted using the commercial computational fluid dynamics (CFD) software ANSYS-CFX. Shear stress transport (SST) and the wall condensation model were used for turbulence closure and wall condensation, respectively. The simulation using the actual size of the apparatus. However, rather than simulating the whole experimental apparatus in consideration of the experimental cases, calculation resources, and calculation time, the simulation model was prepared only in CSV. Selective simulation was conducted to verify the effects of non-condensable gas(NC gas) concentration, CSV internal pressure, and wall sub-cooling conditions. First, as a result of the internal flow of CSV, it was observed that downward flow due to condensation occurred surface of the vertical tube and upward flow occurred in the distant place. Natural convection occurred actively around the heat exchanger tube. Due to this rising and falling internal flow, natural circulation occurred actively around the heat exchanger tubes. Next, in order to check the performance of built-in condensation model using according to the non-condensable gas concentration, CSV internal flow and wall sub-cooling, the heat flux values were compared with the experimental results. On average, the results were underestimated with and error of about 25%. In addition, the influence of CSV internal pressure and wall sub-cooling was small, but when the condensate was highly generated due to the low non-condensable gas concentration, the error was large compared to the experimental values. This is considered to be due to the nature of the condensation model of the CFX code. However, in spite of the limitations of CFD, it is valid to use the built-in condensation model of CFD for PCCS performance prediction from a conservative perspective.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.4
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• pp.374-380
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• 2015

In this paper, a dynamic model describing the 2 phase effect on the gas diffusion layer depending on load change of a fuel cell stack was developed to examine the effects of liquid water in fuel cell cathode gas diffusion layer on the fuel cell performance. For the developed model, 2 phase effect on the performance of a fuel cell stack depending on the load changes, concentration distribution of water vapor and oxygen inside a gas diffusion layer, the effect of the thickness and porosity of the gas diffusion layer on the fuel cell stack voltage were examined. As a result, a fuel cell stack voltage for the 2 phase model within the scope of the research become lower than that for the 1 phase model regardless of the load. Although oxygen molar concentration for the gas diffusion layer adjacent to the catalyst layer was the lowest, water vapor concentration is the highest. In addition, as thickness and porosity of the gas diffusion layer increased and decreased, respectively, the fuel cell stack voltage decreased.

• Journal of the Korean Society of Combustion
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• v.3 no.1
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• pp.11-19
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• 1998

The influence of oxidant addition on soot formation is investigated experimentally with ethylene, propane and mixture fuel co-flow diffusion flames. Oxidant addition into fuel shows the increase of integrated soot volume fractions for ethylene, ethylene/ethane and ethylene/methane mixture flames. However, the increase of integrated soot volume fraction with oxidant addition was not significant for propane and ethylene/propane mixture flames. This discrepancy is explained with $C_2\;and\;C_3$ chemistry at the early stage of soot formation process. The oxidant addition increases the concentration of $C_3H_3$ in the soot formation region, and therefore, enhances soot formation process. A new soot formation rate model that includes both dilution effect and chemical effect of oxygen is suggested to interpret the increase of integrated soot volume fractions with oxidant addition into ethylene. Also, the role of adiabatic flame temperature for the chemical effect of oxygen addition into fuel was reviewed. The influence of oxidant or diluent addition into fuel on soot formation process are the fuel dilution effect, the adiabatic flame temperature altering effect and/or the chemical effect of oxygen. Their relative importance could change with fuel structure and adiabatic flame temperature.

• Korean Journal of Food Science and Technology
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• v.39 no.1
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• pp.1-6
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• 2007

The effectiveness of cyclodextrin(CD) on binding and/or entrapping hexanal in model solution was investigated. The types and concentration of CDs for entrapping hexanal were studied using electronic nose, which composed of metal oxide sensor or was based on GC with surface acoustic wave sensor. ${\alpha}-CD$ was the most effective for lowering headspace concentration of hexanal in model solution. As concentration of CD increased, hexanal concentration in the headspace decreased significantly. Addition of 5% ${\beta}-CD$ to hexanal in model system resulted in 86% reduction of hexanal in the headspace. There was no difference between control and treatment at the initial stage of binding CD with hexanal while reduction of hexanal in the headspace was found during storage time. This could be estimated by electronic nose.

• Journal of Korean Society of Environmental Engineers
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• v.36 no.3
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• pp.153-161
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• 2014

The purpose of this study is to evaluate effect of heavy metals (i.e., $Cu^{2+}$, $Zn^{2+}$, $Cr^{6+}$, $Cd^{2+}$, $Hg^{2+}$, and $Pb^{2+}$) to toxicity of Triclosan as binary mixture. The individual toxicity and combined toxic effects of Triclosan with heavy metals were evaluated by Vibrio fischeri assay. In individual toxicity, the $Hg^{2+}$ was found to be most toxic followed by Triclosan, $Pb^{2+}$, $Cr^{6+}$, $Cu^{2+}$, $Zn^{2+}$, and $Cd^{2+}$, respectively. To evaluate combined toxic effect, correlation analysis of 'predicted value' calculated by Concentration addition (CA) model and Independent action (IA) model with 'experimental value' were performed based on the toxicity of individual compound. As a result, all of the combinations showed that IA model were more correlated with experimental value than CA model. On the basis of the median effect concentration of combination ($EC_{50mix}$) predicted by IA model, experimental $EC_{50mix}$ of Triclosan + Cu, Triclosan + Zn, Triclosan + Pb, Triclosan + Hg, Triclosan + Cd, and Triclosan + Cr were 191%, 226%, 138%, 137%, 209%, and 138% of $EC_{50mix}$ predicted by IA model, respectively, indicating that all of the combinations produced antagonistic effect.

• Journal of Biomedical Engineering Research
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• v.2 no.1
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• pp.31-38
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• 1981

The objective of the present study was to develop an equivalent circuit model of glucose kinetics including the hepatic glucose balance functions which were neglected in the previous compartmental models. Using this circuit model, the insulin resistivity parameter and hepatic glucose sensitivity parameter were estimated in optimal fitting of the model based data of glucose and insulin concentration to the reported clinical intravenous glucose tolerance test(IVGTT) data in normal and diabetic subjects. The addition of the hepatic function in the model has improved the overall performance of the simulation. Also, the computed tissue insulin resistivity and the hepatic glucose sensitivity are shown to be significant in distinguishin four clinical groups of normal and diabetic groups.