• 한국신재생에너지학회:학술대회논문집
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• 2006.06a
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• pp.99-102
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• 2006

Optimal flow-field design of bipolar-plates for a commercial class PEM(polymer electrolyte membrane) fuel cell stack was carried out on the basis of three-dimensional computational fluid dynamics(CFD) simulation. A three-dimensional CFD model originally developed by Shimpalee et al., has been utilized for performing large-scale simulation of a single fuel cell consisting of bipolar-plates gas diffusion layers, and a membrane-electrode-assembly(MEA). The CFD model is able to predict the current density, pressure drops, gas velocities, vapor and liquid water contents, temperature distributions, etc. inside a single fuel cell. Depending on simulation results from the CFD modeling of a PEM fuel cell, several flow-fields of bipolar-plates were designed and verified. The final design of the bipolar-plate has been chosen from the simulations and experimental tests and showed the best performance as expected from the simulation results under a normal operating condition. Thus, the CFD simulation approach to design the optimal flow-field of the bipolar-plates was successful. The final design was adopted as the best flow-field to build a commercial scale PEM fuel cell stack, the performance of which shows about 42% higher than that of the older bipolar-plate design.

• Wind and Structures
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• v.36 no.3
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• pp.161-174
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• 2023

The analytical model of tornado vortices plays an essential role in tornado wind description and tornado-resistant design of civil structures. However, there is still a lack of guidance for the selection and application of tornado analytical models since they are different from each other. For single-cell tornado vortices, this study conducts a comparative study on the velocity characteristics of the analytical models based on numerically simulated tornado-like vortices (TLV). The single-cell stage TLV is first generated by Large-eddy simulations (LES). The spatial distribution of the three-dimensional mean velocity of the typical analytical tornado models is then investigated by comparison to the TLV with different swirl ratios. Finally, key parameters are given as functions of swirl ratio for the direct application of analytical tornado models to generate full-scale tornado wind field. Results show that the height of the maximum radial mean velocity is more appropriate to be defined as the boundary layer thickness of the TLV than the height of the maximum tangential mean velocity. The TLV velocity within the boundary layer can be well estimated by the analytical model. Simple fitted results show that the full-scale maximum radial and tangential mean velocity increase linearly with the swirl ratio, while the radius and height corresponding to the position of these two velocities decrease non-linearly with the swirl ratio.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2005.11a
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• pp.198-201
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• 2005

This study investigates the difference between single-cell and multi-cell cross-sections of thin-walled beams. The variationally and asymptotically consistent theory is used in order to model the two-cell thin- walled beam. The theory is based on an asymptotical analysis of two-dimensional shell energy. In addition, the method allows for the development of closed-form expressions for the displacement, stress field and beam stiffness coefficients. The numerical results show the difference between the cross-sectional stiffness of single-cell and that of multi-cell.

• Proceedings of the Korean Society of Embryo Transfer Conference
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• 2006.10a
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• pp.47-48
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• 2006

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.847-851
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• 2011

Photovoltaic System is increasing install capacity based on environmental-friendly characteristics. It have been actively studied to improve the efficiency. In order to design highly efficient system, it is important to understand the output characteristics of solar panels. The single diode model can represent the physical characteristics of solar panel. But it needs complex process such as mutli-step measurement and numerical analysis to get the exact parameters. In this paper, The method for extracting characteristic parameters of the single diode model based on the I-V characteristic curves in the panel manufacturer's data-sheet is presented. To verify the proposed method, solar cell model constructed in simulink. Simulink model output compared with output graph in datasheet.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.10
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• pp.1430-1437
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• 2009

Functional bread was manufactured with single cell detritus (SCD) of sea tangle. The optimum ingredient formula for SCD bread was determined based on mixture model. Flour and water reduced max weight, strength, hardness and specific loaf volume, whereas the increased SCD reversed the volume change of dough. Flour increased $L^*$ and $b^*$ values of SCD bread, while SCD decreased. Flour and water decreased $a^*$ value, while SCD increased. Max weight, strength, hardness, specific loaf volume, $b^*$ value and water holding capacity (WHC) were linear model on ANOVA table, whereas distance, volume change of dough, $L^*$ and $a^*$ values were nonlinear model. The response constraint coefficient showed that SCD influenced texture of SCD bread more than flour and water did, whereas water influenced the volume change of dough, specific loaf volume and WHC more than flour and SCD did. Moreover, flour influenced color value more than did water and SCD. Distance and $a^*$ value fitted nonlinear model with interaction terms for flour-SCD and water-SCD. Optimum ingredient formula for SCD bread was: flour, 48.25%; water, 30.89%; SCD, 3.86%. Sensory evaluation of SCD bread was a little lower than industrial bread and electrolyzed SCD bread.

• Structural Engineering and Mechanics
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• v.4 no.6
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• pp.613-630
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• 1996

The homogenization method is used to develop a beam element in space for thermo-mechanical analysis of unidirectional composites. Local stress and temperature field in the microscale are described using the function of homogenization. The global (macroscopic) behaviour of the structure is supposed to be that of a beam. Beam-type kinematical hypotheses (including independent shear rotations) are hence applied and superposed on the microdescription. A macroscopic stiffness matrix for such a beam element is then developed which contains the microscale properties of the single cell of periodicity. The presented model enables us to analyse without too much computational effort complicated composite structures such as e.g. toroidal coils of a fusion reactor. We need only a FE mesh sufficiently fine for a correct description of the local geometry of a single cell and a few of the newly developed elements for the description of the global behaviour. An unsmearing procedure gives the stress and temperature field in the different materials of a single cell.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.7C
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• pp.670-676
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• 2002

The object of ATM network is to the guarantee quality of service(QoS). Therefore, various of traffic management schemes have been proposed. Among these schemes, call admission control(CAC) is very important to provide real-time services and ON-OFF model, which is single source traffic model, has been used. But ON-OFF model differ from GCRA(Generic Cell Rate Algorithm) controlled traffic in ATM network. In this paper, we analyze the traffic, which is controlled as dual GCRA, and propose TWM(Three-state Worst-case Model), which is new single source traffic model. We also proposed CAC to guarantee peak-to-peak CDV(Cell Delay Variation) based on the TWM. In experiments, ON-OFF model and TWM are compared to show that TWM is superior to ON-Off model in terms of QoS guaranteeing.

• Journal of Electrical Engineering and Technology
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• v.11 no.5
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• pp.1323-1331
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• 2016

• Food Science and Biotechnology
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• v.15 no.5
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• pp.664-671
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• 2006

Modeling the growth kinetics of lactic acid bacteria (LAB), one of the most valuable microbial groups in the food industry, has been actively pursued in order to understand, control, and optimize the relevant fermentation processes. Most modeling approaches have focused on the development of single population models. Primary single population models provide fundamental kinetic information on the proliferation of a primary LAB species, the effects of biological factors on cell inhibition, and the metabolic reactions associated with cell growth. Secondary single population models can evaluate the dependence of primary model parameters, such as the maximum specific growth rate of LAB, on the initial external environmental conditions. This review elucidates some of the most important single population models that are conveniently applicable to the LAB fermentation analyses. Also, a well-defined mixed population model is presented as a valuable tool for assessing potential microbial interactions during fermentation with multiple LAB species.