• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.310-316
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• 2019

In automotive application, customers are demanding high efficiency and various functions for convenience. The demand for these automotive applications is steadily increasing. In this study, it has been studied the analysis of heat flow to improve the PCB(printed circuit board) heating performance of WPC (wireless power charger) recently developed for convenience. The charging performance of the wireless charger has been reduced due to power dissipation and thermal resistance of PCB. Therefore, it has been proposed optimal PCB design, layout and position of electronic parts through the simulation of heat flow analysis and PCB design was analyzed and decided at each design stage. Then, the experimental test is performed to verify the consistency of the analysis results under actual environmental conditions. In this paper, The PCB modeling and heat flow simulation in transient response were performed using HyperLynx Thermal and FloTHERM. In addition, the measurement was performed using infrared thermal imaging camera and used to verify the analysis results. In the final comparison, the error between analysis and experiment was found to be less than 10 % and the heating performance of PCB was also improved.

• Applied Chemistry for Engineering
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• v.34 no.3
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• pp.299-306
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• 2023

In this study, the O/W emulsification processes with the natural surfactants that were extracted from Medicago sativa L. and Sapindus saponaria L. as emulsifiers were optimized using the central composite design-response surface methodology (CCD-RSM). Herein, independent parameters were the amounts of mixed emulsifiers, the mixing ratio of natural emulsifiers (soapberry saponin/alfalfa saponin), and the emulsification time, whereas the reaction parameters were the emulsion stability index (ESI), mean droplet size (MDS), and antioxidant activity (DPPH radical scanvenging activity). Through basic experiments, the ranges of operation variables for the amount of mixed emulsifiers, the mixing ratio of natural emulsifiers, and the emulsification time were 12~14 wt%, 30~70%, and 20~30 min, respectively. The optimum operation variables deduced from CCD-RSM for the amount of mixed emulsifiers, the mixing ratio of natural emulsifiers, and the emulsification time were 13.2 wt%, 44.2%, and 25.8 min, respectively. Under these optimal conditions, the expected values of the ESI, MDS, and antioxidant activity were 88.7%, 815.5 nm, and 38.7%, respectively. And, the measured values of the ESI, MDS, and antioxidant activity were 90.6%, 830.2 nm, and 39.6%, respectively, and the average experimental error for validating the accuracy was about 2.1%. Therefore, it was possible to design an optimization process for evaluating the O/W emulsion process using CCD-RSM.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.34 no.4
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• pp.349-354
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• 2010

Fuel cells have attracted enormous interest as new power sources because the cells can be used to solve the problem of environmental pollution as well as the natural-resource exhaustion problem. In this study, hydrogen-gas flow in microchannels of different shapes was numerically analyzed to improve the efficiency of a microfuel cell. Flow characteristics in six microchannels of different shapes but under identical boundary conditions were simulated. The analysis result shows that the flow characteristics such as velocity, uniformity, and flow rate, greatly depend upon the channel shape. This implies that the efficiency of microfuel cell can be expected to be increased by adopting the optimal configuration of channel shape for hydrogen-gas flow. The experimental results show that power density of a PEMFC with a microflow channel is higher than that of a PEMFC without a microflow channel; however, a durable catalyst is required in MEA.

• Journal of Ocean Engineering and Technology
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• v.30 no.2
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• pp.91-99
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• 2016

The global demand for oil and natural gas has increased, and resource development is moving to the deep sea. Floating and flexible offshore structures such as semi-submersible, spar, and FPSO structures have been widely used. The major equipment of floating structures is always exposed to waves, currents, and other marine environmental factors, which cause structural damage. Moreover, flexible risers are susceptible to an exciting force due to the motion of the floating body. The inline and transverse responses from the three-dimensional behavior of a floating structure occur because of various forces. Typical risers are made of steel pipe and applied in the oil and gas development field, but flexible materials such as polyethylene are suitable for OTEC risers. Consequently, the optimal design of a flexible offshore plant requires a dynamic behavior analysis of slender bodies made of the different materials commonly used for offshore flexible risers. In this study, a three-dimensional motion measurement device was used to analyze the displacements of riser models induced by external force factors, and forced oscillation of a riser was linked to forced oscillation under a steady flow and regular wave condition.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.8
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• pp.1015-1019
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• 2013

To improve the energy efficiency and ride quality of an electric vehicle, it is highly desirable to develop a lightweight suspension system with high travel ratio. Air suspension systems with a rubber tube are often considered optimal for such requirements. In this study, a new lightweight air suspension system with high travel ratio was developed for use in electric vehicles. Furthermore, an FE-based multi-flexible-body dynamics (MFBD) model of the suspension system was developed as a tool for improving the design of an actual suspension system. The MFBD model includes the FE modeling of the rubber tube module as well as other essential parts of the air suspension system. The system parameters for the model were obtained from various experiments. The validity of the developed MFBD model was shown through a comparison between the experimental results and the simulation results.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.12
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• pp.2352-2360
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• 2011

In this paper, we introduce a comprehensive design methodology of Radial Basis Function Neural Networks (RBFNN) that is based on mechanism of clustering and optimization algorithm. We can divide some clusters based on similarity of input dataset by using clustering algorithm. As a result, the number of clusters is equal to the number of nodes in the hidden layer. Moreover, the centers of each cluster are used into the centers of each receptive field in the hidden layer. In this study, we have applied Fuzzy-C Means(FCM) and K-Means(KM) clustering algorithm, respectively and compared between them. The weight connections of model are expanded into the type of polynomial functions such as linear and quadratic. In this reason, the output of model consists of relation between input and output. In order to get the optimal structure and better performance, Particle Swarm Optimization(PSO) is used. We can obtain optimized parameters such as both the number of clusters and the polynomial order of weights connection through structural optimization as well as the widths of receptive fields through parametric optimization. To evaluate the performance of proposed model, NXT equipment offered by National Instrument(NI) is exploited. The situation awareness system-related intelligent model was built up by the experimental dataset of distance information measured between object and diverse sensor such as sound sensor, light sensor, and ultrasonic sensor of NXT equipment.

• Journal of the Korean Institute of Gas
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• v.17 no.6
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• pp.8-14
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• 2013

In this study, characteristics of the geometric design changes of plasma reformer for LPG fuelled vehicles were studied. To improve the yield of hydrogen, reformer 1st, and 2nd were designed. Secondary reformer compared to the primary reformer to increase the volume of the rear part of reformed gas having passed through the plasma and increased reaction time. To compare reforming results of two reformers, various experimental conditions such as, from partial oxidation to total oxidation conditions $O_2/C$ ratios, and total flow rate of 20, 30, 40, 50 lpm conditions, were varied. Results showed that with increasing $O_2/C$ ratios, LPG conversion rate increased, decreased hydrogen selectivity and hydrogen yield optimal point existed and secondary reformer 4.5 times larger than the primary reformer at the same flow rate to 4~14% increase in the yield of hydrogen.

• Journal of the Korean Dietetic Association
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• v.14 no.2
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• pp.105-113
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• 2008

The purpose of this study was to develop a muffin containing dried leek powder. The complete analysis was conducted using the Design Expert 7 program (Stat - Easy Co., Minneapolis, MN, USA). The leek muffins were produced with varying amounts of leek powder (A), sugar (B), and butter (C). According to response surface methodology (RSM), there were 16 experimental points, including two replicates. The leek muffin formulation was optimized using rheology and sensory analyses. For the results, a quadratic model was applied in determining lightness, volume, hardness, and sensory characteristics, including flavor, texture, and overall quality; redness and height were represented by a linear model. Lightness decreased and redness increased with increasing amounts of leek powder (p<0.001). In addition, hardness displayed significant differences (p<0.001) with increasing amounts of leek powder. The sensory evaluation results showed significant differences for color, flavor, texture, and overall quality (p<0.05). Based on the numerical and graphical methods, the optimal formulation was determined as 8.30 g of leek power, 88.37 g of sugar, and 81.70 g of butter.

• Asian-Australasian Journal of Animal Sciences
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• v.19 no.4
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• pp.587-592
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• 2006

This study was conducted to evaluate the effects of supplementation with bacillus-based probiotic (Bacillus subtilis, $1.0{\times}10^7CFU/g$; Bacillus coagulans, $2.0{\times}10^6CFU/g$ and Lactobacillus acidophilus, $5.0{\times}10^6CFU/g$) on finishing pigs growth performance, nutrients digestibility, blood characteristics and fecal noxious gas content and to determine the optimal addition level of this probiotic preparation. A total of forty eight pigs with an initial body weight (BW) of $90.60{\pm}2.94kg$ were allotted to three dietary treatments (four pigs per pen with four pens per treatment) according to a randomized complete block design. Dietary treatment included: 1) CON (basal diet); 2) BP1 (basal diet+bacillus-based probiotic 0.1%) and 3) BP2 (basal diet+bacillus-based probiotic 0.2%). The experiment lasted 6 weeks. Through the entire experimental period, ADG was improved by 11% (p<0.05) in pigs fed diets supplemented with 0.2% bacillus-based probiotic compared to pigs fed the basal diet. ADFI and gain/feed were not affected by the treatments (p>0.05). Supplementation of bacillus-based probiotic did not affect either DM and N digestibilities or blood characteristics (p>0.05) of pigs. Fecal ammonia nitrogen ($NH_3$-N) measured at the end of experiment was reduced (p<0.05) when pigs were fed the diet with 0.2% bacillus-based probiotic. Fecal butyric acid concentration also decreased significantly (p<0.05) whereas acetic acid and propionic acid concentrations were not affected (p>0.05) when pigs were fed diets with added bacillus-based probiotic. In conclusion, dietary supplementation of bacillus-based probiotic can increase growth performance and decrease fecal noxious gas content concentration.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.1-12
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• 2014

This paper implements and improves the performance of high computational subtractive clustering algorithm using a single instruction, multiple data (SIMD) based many-core processor. In addition, this paper implements five different processing element (PE) architectures (PEs=16, 64, 256, 1,024, 4,096) to select an optimal PE architecture for the subtractive clustering algorithm by estimating execution time and energy efficiency. Experimental results using two different medical images and three different resolutions ($128{\times}128$, $256{\times}256$, $512{\times}512$) show that PEs=4,096 achieves the highest performance and energy efficiency for all the cases.