• Title/Summary/Keyword: Operating condition optimization

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A Study of Wall Shape Design for Cascade Experiment (케스케이드 실험을 위한 벽면형상 설계에 관한 연구)

  • Cho, Chong-Hyun;Cho, Bong-Soo;Kim, Chae-Sil;Cho, Soo-Yong
    • 한국전산유체공학회:학술대회논문집
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    • 2008.03b
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    • pp.148-151
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    • 2008
  • In a double-passage cascade apparatus, only two blades are installed in order to increase the accuracy of experimental result by applying bigger blade than the size of multi-blades on the same apparatus. However, this causes difficulties to make correct periodic condition. In this study, sidewalls are designed to meet periodic condition without removing the operating fluid or adjusting tail boards. Surface Mach number on the blade surface is applied to a responsible variable, and 12 design variables which are related with sidewall profile control are selected. A gradient based optimization is adopted for wall design and CFX-11 is used for the internal flow computation. The computed result shows that it could obtain the same flow structure by modifying only the sidewalls of the double-passage cascade apparatus.

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Effects of Key Operating Parameters on the Efficiency of Two Types of PEM Fuel Cell Systems (High-Pressure and Low-Pressure Operating) for Automotive Applications

  • Kim Han-Sang;Lee Dong-Hun;Min Kyoungdoug;Kim Minsoo
    • Journal of Mechanical Science and Technology
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    • v.19 no.4
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    • pp.1018-1026
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    • 2005
  • The proton exchange membrane (PEM) fuel cell system consisting of stack and balance of plant (BOP) was modeled in a MATLAB/Simulink environment. High-pressure operating (compressor type) and low-pressure operating (air blower type) fuel cell systems were con­sidered. The effects of two main operating parameters (humidity and the pressure of the supplied gas) on the power distribution characteristics of BOP and the net system efficiency of the two systems mentioned above were compared and discussed. The simulation determines an optimum condition regarding parameters such as the cathode air pressure and the relative humidity for maximum net system efficiency for the operating fuel cell systems. This study contributes to get a basic insight into the fuel cell stack and BOP component sizing. Further research using muli­object variable optimization packages and the approach developed by this study can effectively contribute to an operating strategy for the practical use of fuel cell systems for vehicles.

A study on the Base Plate to reduce vibration for Refrigerator (Base Plate 연구를 통한 냉장고 진동 저감 방안 고찰)

  • Kim, Jung-Seon;Thuy, Tran Ho Vinh;Kook, Jung-Hwan;Wang, Se-Myung;Lee, Dong-Hyun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.340-343
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    • 2007
  • In this paper, we present our method to reduce vibration of the base plate of a refrigerator by avoiding resonance between base plate and compressor operation. To verify the modes of the base plate, FE models of the base plate with free-free condition and applied boundary condition were built and validated by results from experimental modal analysis. Operating Deflection Shape analysis was applied to find the sensitive area on the base plate during compressor operation. In optimization process, Finite Difference Method - based sensitivity analysis is used to detect the most sensitive area. Finally, based on this numerical result, we will make beads on the base plate to reduce vibration of refrigerator.

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Numerical Optimization for Performance Improvement of a Tunnel Ventilation Jet fan (터널 환기용 제트홴의 성능 향상을 위한 수치최적화)

  • Kim, Joon-Hyung;Kim, Jin-Hyuk;Kim, Kwang-Yong;Yoon, Joon-Yong;Choi, Young-Seok;Yang, Sang-Ho
    • The KSFM Journal of Fluid Machinery
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    • v.14 no.5
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    • pp.63-68
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    • 2011
  • This paper presents an optimization procedure for performance improvement of a tunnel ventilation jet fan. Optimization techniques based on response surface approximation (RSA) are employed to improve the aerodynamic performance of a tunnel ventilation jet fan. For numerical analysis, three-dimensional Renolds- averaged Navier-Stokes (RANS) equations with shear stress transport turbulence model are discretized by using finite volume approximations and solved on hexahedral grids to evaluate the total efficiency at the operating condition as the objective function. Four geometric variables defining the meridional length and the thickness profile at the hub and shroud in the jet fan rotor are selected as design variables for the numerical optimization. The results of the numerical optimization show that the total efficiency of the optimized model is significantly improved in comparison with the base model.

A Study on the Topology Optimization of Electric Vehicle Cross beam using an Optimality Criteria Method in Determination of Arranging Hole (원공배열 결정에 최적기준법에 의한 전동차 크로스 빔의 위상최적화에 관한 연구)

  • 전형용;천홍정;송시엽;최중호
    • Proceedings of the KSR Conference
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    • 2002.10b
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    • pp.876-883
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    • 2002
  • Electric vehicle body has to be subjected to uniform load and requires auxiliary equipment such as air pipe and electric wire pipe. Especially, the cross beam supports the weight of passenger and electrical equipments. a lightweight vehicle body is salutary to save operating costs and fuel consumption. Therefore this study is to perform the size and the shape optimization of crossbeam fur electric vehicle using the method of topology optimization to introduce the concept of homogenization based on optimality criteria method which is efficient for the problem having the number of design variables and a few boundary condition. this provides the method to determine the optimum position and shape of circular hole in the cross beam and then can achieve the optimal design to reduce weight.

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Dynamic Characteristic Analysis of a Wind Turbine Depending on Varying Operational Conditions (작동 조건 변화에 따른 풍력발전 시스템의 동적 특성 해석)

  • Nam, Yoon-Su;Yoon, Tai-Jun;Yoo, Neung-Soo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.1
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    • pp.42-48
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    • 2009
  • A design methodology for control strategy and control structure gives a direct impact on wind turbine's performance and life cycle. A baseline control law which is a variable rotor speed and variable pitch control strategy is introduced, and a mathematic performance model of a wind turbine dynamics is derived. By using a numeric optimization algorithm, the steady state operating conditions of wind turbines are identified. Because aerodynamic interaction of winds with rotor blades is basically nonlinear, a linearization procedure is applied to analyze wind turbine dynamic variations for whole operating conditions. It turns out the wind turbine dynamics vary much depending on its operating condition.

Comparisons of Performance with Heat Exchanger Constitution in the Fin-tube Gascooler (핀-관 가스쿨러에서 열교환기 구성에 따른 성능 비교)

  • Bae, Kyung-Jin;Shin, Eun-Sung;Hong, Myung-Suk;Cho, Hong-Hyun
    • Proceedings of the SAREK Conference
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    • 2009.06a
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    • pp.1294-1299
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    • 2009
  • Since the operating pressure of $CO_2$ gascooler is so high compared with that of previous subcritical condenser, the optimization of gascooler is needed for improve heat exchanger performance. In this study, the performance characteristics of five kinds of heat exchangers were analyzed and compared with operating conditions. As a result, the 4-20 HX-tube shows the maximum gascooler capacity because the heat transfer is effective and pressure drop is small. Beside, the high performance of 4-20 HX-tube could be keep for wide operating condition.

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Optimization of Operating Parameters and Components for Water Electrolysis Using Anion Exchange Membrane (음이온 교환막 알칼리 수전해를 위한 운전 조건 및 구성요소의 최적화)

  • Jang, Myeong Je;Won, Mi So;Lee, Kyu Hwan;Choi, Sung Mook
    • Journal of Surface Science and Engineering
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    • v.49 no.2
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    • pp.159-165
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    • 2016
  • The hydrogen has been recognized as a clean, nonpolluting and unlimited energy source that can solve fossil fuel depletion and environmental pollution problems at the same time. Water electrolysis has been the most attractive technology in a way to produce hydrogen because it does not emit any pollutants compared to other method such as natural gas steam reforming and coal gasification etc. In order to improve efficiency and durability of the water electrolysis, comprehensive studies for highly active and stable electrocatalysts have been performed. The platinum group metal (PGM; Pt, Ru, Pd, Rh, etc.) electrocatalysts indicated a higher activity and stability compared with other transition metals in harsh condition such as acid solution. It is necessary to develop inexpensive non-noble metal catalysts such as transition metal oxides because the PGM catalysts is expensive materials with insufficient it's reserves. The optimization of operating parameter and the components is also important factor to develop an efficient water electrolysis cell. In this study, we optimized the operating parameter and components such as the type of AEM and density of gas diffusion layer (GDL) and the temperature/concentration of the electrolyte solution for the anion exchange membrane water electrolysis cell (AEMWEC) with the transition metal oxide alloy anode and cathode electrocatalysts. The maximum current density was $345.8mA/cm^2$ with parameter and component optimization.

Optimization of Printing Process for the Development of Metal-oxide Resistivity Sensor (전기저항형 금속산화물 센서의 인쇄공정 최적화에 관한 연구)

  • Lee, Seokhwan;Koo, Jieun;Lee, Moonjin;Jung, Jung-Yeul;Chang, Jiho
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.29 no.6
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    • pp.353-358
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    • 2016
  • In this paper, we have studied about the optimum fabrication condition of the printed Indium Tin Oxide (ITO) layers for the electrical resistance-type sensor application. We have investigated on the substrates surface treatments, mixing ratio of organic binder/ITO powder, and viscosity of the printing paste to determine the optimum condition of the screen printed ITO layer. Also, we found that the printing condition is closely related with the sensor performance. To know the feasibility of printed ITO layer as an electrical resistance-type sensor, we have fabricated the ITO sensors with a printed and sputtered ITO layers. The printed ITO films revealed $10^2$ times higher sensitivity than the sputtered ITO layer. Also, the sputtered ITO layer exhibited an operating temperature of $127^{\circ}C$ at the operating voltage of 5 V. While, in case of the printed ITO layer showed the operating temperature of $27.6^{\circ}C$ in high operating voltage of 30 V. We found that the printed ITO layer is suitable for the various sensor applications.

Application of Statistical Analysis for Optimization of Organic Wastes Acidogenesis (유기성 폐기물의 산발효 최적화를 위한 통계학적 분석 방안의 적용)

  • Jeong, Emma;Kim, Hyun-Woo;Nam, Joo-Youn;Oh, Sae-Eun;Hong, Seung-Mo;Shin, Hang-Sik
    • Journal of Korean Society of Environmental Engineers
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    • v.30 no.8
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    • pp.781-788
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    • 2008
  • This study shows how to find out optimum co-substrate conditions and continuous operating parameters for maximum acidification of three different organic wastes - livestock wastewater, sewage sludge and food waste. Design of experiments and statistical analysis were revealed as appropriate optimization schemes in this study. Analyses of data obtained from batch tests demonstrated the optimum substrate mixing ratio, which was determined by maximum total volatile fatty acids(TVFA) increase and soluble chemical oxygen demand(SCOD) increase simultaneously. Suggested optimum mixing ratio of livestock wastewater, sewage sludge and food waste was 0.4 : 1.0 : 1.1 based on COD, respectively. Response surface methodology(RSM) contributed to find out optimum operating parameter - hydraulic retention time(HRT) and substrate concentration - for the semi-continuous acidogenic fermentation of mixed organic wastes. The optimum condition for maximum TVFA increase was 2 days of HRT and 29,237 mg COD/L. Empirical equations obtained through regression analysis could predict that TVFA increase would be 73%. To confirm the validity of the statistical experimental strategies, a confirmation experiment was conducted under the obtained optimum conditions, and relative error between theoretical and experimental results was within 4%. This result reflects that using statistical and RSM technique can be effectively used for the optimization of real waste treatment processes.