• Title/Summary/Keyword: Design Service Volume

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Mathematical Model and Design Optimization of Reduction Gear for Electric Agricultural Vehicle

  • Pratama, Pandu Sandi;Byun, Jae-Young;Lee, Eun-Suk;Keefe, Dimas Harris Sean;Yang, Ji-Ung;Chung, Song-Won;Choi, Won-Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.22 no.1
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    • pp.1-9
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    • 2019
  • In electric agricultural machine the gearbox is used to increase torque and lower the output speed of the motor shaft. The gearbox consists of several shafts, helical gears and spur gears works in series. Optimization plays an important role in gear design as reducing the weight or volume of a gear set will increase its service life and improve the bearing capacity. In this paper the basic design parameters for gear like shaft diameter and face width are considered as the input variables. The bending stress and material volume is considered as the objective function. ANSYS was used to investigate the bending stress when the variable was changed. Artificial Neural Network (ANN) was used to obtain the mathematical model of the system based on the bending stress behaviour. The ANN was used since the output system is nonlinear. The Genetic Algorithm (GA) technique of optimization is used to obtain the optimized values of shaft diameter and face width on the pinion based on the ANN mathematical model and the results are compared as that obtained using the traditional method. The ANN and GA were performed using MATLAB. The simulation results were shown that the proposed algorithm was successfully calculated the value of shaft diameter and face width to obtain the minimal bending stress and material volume of the gearbox.

Cavitation Characteristics of a Pump-turbine Model by CFD Analysis

  • Singh, Patrick Mark;Chen, Chengcheng;Chen, Zhenmu;Choi, Young-Do
    • The KSFM Journal of Fluid Machinery
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    • v.18 no.4
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    • pp.49-55
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    • 2015
  • The pumped storage plant operates with quick change of the discharge as well as quick changes between pump mode and turbine mode. This study focuses on the cavitation analysis of a pump-turbine model because in turbo-machinery, cavitation can reduce the performance and shorten service life. The pump-turbine model system consists of 7 blades, 20 stay vanes (including tongue) and 20 guide vanes. This study adopts the Rayleigh-Plesset model as a cavitation model, which illustrates cavitation by using the air volume fraction method. The pump mode and turbine mode at the operating condition of partial loading, normal and excessive loading are analyzed to investigate the cavitation performance of the pump-turbine. It was observed that this pump-turbine design showed very good cavitation characteristics with no cavitation bubbles in all operating conditions. Overall value of air volume fraction of both mode at different operating condition are lower than 1, which confirms low possibility of cavitation occurrence at current situation.

Experimental Study to fatigue performance of reinforced concrete beam (RC보의 피로성능에 관한 실험적연구)

  • Kim Soon-Chul;Kim Eun-Kyum
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.848-853
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    • 2004
  • This is a basic experimental study elaborated on reinforced concrete beam under load, especially crack behavior, bending stiffness, deflection and strain of concrete and reinforced bar for reinforced concrete and steel fiber reinforced concrete beam in relation to fatigue loading in service ability limit states. Test parameters are concrete strength, volume. and type of steel fiber and fatigue loading in service ability limit states to be changed. In order to obtain the actual conditions of various working loads for the aforesaid reinforced concrete beam, minimum load is applied 10$\%$ of maximum design load and maximum load was applied 60$\%$, 80$\%$ and 100$\%$ respectively. Under the same condition, the test was implemented up to 1 million cycle and the result was thoroughly analyzed and reviewed.

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Design and Implementation of Internal Multi-Band Monopole Antenna for Mobile Phones

  • Yang, Woon-Geun;Cai, Ling Zhi;Yang, Cheol-Yong
    • Journal of IKEEE
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    • v.15 no.4
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    • pp.339-344
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    • 2011
  • In this paper, we proposed an internal multi-band monopole antenna for mobile phone that can be used for smart phones. The proposed antenna has a small volume of $38{\times}8.5{\times}5\;mm^3$, ground size is $100{\times}60\;mm^2$, and covers the GSM900 (Global System for Mobile communications : 880-960 MHz), DCS (Digital Communications System : 1710-1880 MHz), K-PCS (Korea-Personal Communications Service : 1750-1870 MHz), US-PCS (US Personal Communications Service : 1850-1990 MHz), Bluetooth (2400-2483 MHz), Wibro (2300-2390 MHz) and WLAN (Wireless Local Area Network : 2400-2483.5 MHz) bands. The measured peak gains of the implemented antenna are 1.15 dBi at 920 MHz, 3.58 dBi at 1795 MHz, 3.46 dBi at 1810 MHz, 2.91 dBi at 1920 MHz, 5.18 dBi at 2345 MHz, 3.37 dBi at 2442 MHz.

Performance Analysis of Error Classification System on Distributed Multimedia Environment (분산 멀티미디어 환경에서 실행되는 오류 분류 시스템의 성능 분석)

  • Ko Eung-Nam
    • Journal of Digital Contents Society
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    • v.4 no.2
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    • pp.181-189
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    • 2003
  • The requirement of distributed multimedia applications is the need for sophisticated QoS(quality of service) management. In terms of distributed multimedia systems, the most important catagories for quality of service are a timeless, volume, and reliability In this paper, we discuss a method for increasing reliability through fault tolerance. We describe the design and implementation of the ECA running on distributed multimedia environment. ECA is a system is able to classify automatically a software error based on distributed multimedia. This papaer explains a performance analysis of an error classification system running on distributed multimedia environment using the rule-based DEVS modeling and simulation techniques. In DEVS, a system has a time base, inputs, states, outputs, and functions.

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Evaluating Distress Prediction Models for Food Service Franchise Industry (외식프랜차이즈기업 부실예측모형 예측력 평가)

  • KIM, Si-Joong
    • Journal of Distribution Science
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    • v.17 no.11
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    • pp.73-79
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    • 2019
  • Purpose: The purpose of this study was evaluated to compare the predictive power of distress prediction models by using discriminant analysis method and logit analysis method for food service franchise industry in Korea. Research design, data and methodology: Forty-six food service franchise industry with high sales volume in the 2017 were selected as the sample food service franchise industry for analysis. The fourteen financial ratios for analysis were calculated from the data in the 2017 statement of financial position and income statement of forty-six food service franchise industry in Korea. The fourteen financial ratios were used as sample data and analyzed by t-test. As a result seven statistically significant independent variables were chosen. The analysis method of the distress prediction model was performed by logit analysis and multiple discriminant analysis. Results: The difference between the average value of fourteen financial ratios of forty-six food service franchise industry was tested through t-test in order to extract variables that are classified as top-leveled and failure food service franchise industry among the financial ratios. As a result of the univariate test appears that the variables which differentiate the top-leveled food service franchise industry to failure food service industry are income to stockholders' equity, operating income to sales, current ratio, net income to assets, cash flows from operating activities, growth rate of operating income, and total assets turnover. The statistical significances of the seven financial ratio independent variables were also confirmed by logit analysis and discriminant analysis. Conclusions: The analysis results of the prediction accuracy of each distress prediction model in this study showed that the forecast accuracy of the prediction model by the discriminant analysis method was 84.8% and 89.1% by the logit analysis method, indicating that the logit analysis method has higher distress predictability than the discriminant analysis method. Comparing the previous distress prediction capability, which ranges from 75% to 85% by discriminant analysis and logit analysis, this study's prediction capacity, which is 84.8% in the discriminant analysis, and 89.1% in logit analysis, is found to belong to the range of previous study's prediction capacity range and is considered high number.

Microscopic Study on the Warrants for TWLTL Based on the DHV - Focusing on the Section with Overlapping Left-turn Movements - (설계시간 교통량 기반 양방향 좌회전차로의 설치기준에 관한 미시적 연구 - 좌회전 상충이 발생하는 구간을 중심으로 -)

  • Lee, Ji-Sun;Shin, Chi-Hyun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.5
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    • pp.1-10
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    • 2014
  • This research focuses on the warrants for the Two-Way Left-Turn Lanes (TWLTL). Using a microscopic traffic simulation tool, two key parameters were investigated herewith. One is a wide range of the Design Hourly Volume (DHV), reflective of recent Korean roadway volume characteristics, that is conventionally reduced from the Average Daily Traffic (ADT). The other is driveway spacing, the length of the middle-lane section where two conflicting left-turn demands often compete for space. In addition, unlike previous researches, the way and the procedure the TWLTL operation is realized in the VISSIM S/W with its add-on application such as VISVAP is clearly stated and described in detail. According to the result of simulations for 10 volume scenarios, as expected, the higher the volume level is, the more delay the left-tuner experience. The Level Of Service (LOS) for most cases was in the range of C and D based on the non-signalized intersection LOS criteria. Furthermore, the TWLTL was found operable up to the volume level of 1,116 and 1,860 vph in heavy direction (equivalent of volume level 7) for 3-lane and 5-lane facility respectively, which covers significant portion of existing two to four-lane highway volumes in Korea.

A Study of Integrated Press System Implementation for Traffic Information (교통정보 언론제공 연계시스템 구축에 관한 연구)

  • Chung, Sung-Hak;Park, Hoy-Ryong
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.9
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    • pp.147-156
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    • 2009
  • The aim of this study is to propose an integrated press system design for traffic information service by multi-connecting traffic information services which are now being serviced by each different requirements for the press service and by providing advanced traveler information service which organically user oriented design such as traffic broadcast, news, journal, semantic web and also related traffic ontology as well as road traffic information. For the objective, the status of domestic and foreign traffic information supply system was analyzed and then the requirements by media were reviewed. Then, by analyzing the system implementation method and the implementation system the method of implementing such the system was suggested. The design method suggested in this study enabled the information users to utilize a variety of traffic information through intervening between the necessary and sufficient conditions of information users and information suppliers. Throughout the result of this study, for the users who used the integrated transport, the efficient space movement and the economic using value was improved. Providing the traffic information through the press media will become useful information to road drivels, and it is effected that the traffic volume will be dispersed and the traffic jam will be relieved owing to the supply of traffic information to the press.

Optimal mix design of air-entrained slag blended concrete considering durability and sustainability

  • Wang, Xiao-Yong;Lee, Han-Seung
    • Advances in concrete construction
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    • v.11 no.2
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    • pp.99-109
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    • 2021
  • Slag blended concrete is widely used as a mineral admixture in the modern concrete industry. This study shows an optimization process that determines the optimal mixture of air-entrained slag blended concrete considering carbonation durability, frost durability, CO2 emission, and materials cost. First, the aim of optimization is set as total cost, which equals material cost plus CO2 emission cost. The constraints of optimization consist of strength, workability, carbonation durability with climate change, frost durability, range of components and component ratio, and absolute volume. A genetic algorithm is used to determine optimal mixtures considering aim function and various constraints. Second, mixture design examples are shown considering four different cases, namely, mixtures without considering carbonation (Case 1), mixtures considering carbonation (Case 2), mixtures considering carbonation coupled with climate change (Case 3), and mixtures of high strength concrete (Case 4). The results show that the carbonization is the controlling factor of the mixture design of the concrete with ordinary strength (the designed strength is 30MPa). To meet the challenge of climate change, stronger concrete must be used. For high-strength slag blended concrete (design strength is 55MPa), strength is the control factor of mixture design.

Design Criteria of Traffic Island Considering Pedestrian LOS (보행자 서비스 수준을 고려한 교통섬 설계기준 연구)

  • Park, Byung Ho;Beak, Tae Hun;Jung, Yong Il
    • Journal of Korean Society of Transportation
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    • v.30 no.5
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    • pp.23-31
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    • 2012
  • The objective of this study is to develop the design criteria of traffic island considering pedestrian level of service (LOS). In pursuing the above, this study gives particular emphasis to suggesting the minimum design space of traffic island in order to maintain pedestrian LOS C and D, and the critical pedestrian traffic volume that reflects the intersection geometry (2 lanes per direction) through the simulation analysis. The main results are as follows. First, the spaces of 160 traffic islands, which meet the pedestrian LOS C and D and reflects the pedestrian traffic volume by signal cycle, are drawn by using a commercial simulator VISSIM. The relevant spaces of traffic island in terms of both the pedestrian LOS and the pedestrian traffic volume are evaluated to range from $3.0m^2$ to $41m^2$. Second, the critical pedestrian traffic volume for the operation of traffic island is evaluated to be 1,000-1,300 person/hour at LOS C and 1,600-1,800 person/hour at LOS D, respectively, when a cycle of 120-150 seconds were applied to a intersection with two lanes per direction.