• Title/Summary/Keyword: 최적화 설계프로그램

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Multi-Objective Optimization of Turbofan Engine Performance Using Particle Swarm Optimization (Particle Swarm Optimization을 이용한 터보팬 엔진 다목표 성능 최적화 연구)

  • Choi, Jaewon;Chung, Wonchul;Sung, Hong-Gye
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.43 no.4
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    • pp.326-333
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    • 2015
  • A turbo fan engine performance analysis program combined with a particle swarm optimization(PSO) has been developed to optimize the major design parameters of the combat aircraft gas turbine engine. The optimized parameters includes bypass ratio, fan pressure ratio, high pressure compression ratio and burner exit temperature. The objective parameters have been determined using a multi-objective function consisting of the net thrust and specific fuel consumption along a weight function. The basic model for the combat aircraft gas turbine engine has been selected as the F404 turbofan engine which is widely used in the combat aircraft, F-18 and Korean high level training aircraft, T-50. The optimal conditions of four parameters have been obtained for various design conditions.

Design and Optimization Study of Active Trasfemoral Prosthesis leg (대퇴 절단 환자를 위한 능동대퇴의지구조 설계 및 최적화 연구)

  • Lee, K.H.;Chung, J.H.;Lee, C.-H.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.7 no.2
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    • pp.41-46
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    • 2013
  • IIn this paper, active trasfemoral prosthesis leg is designed for the handicapped who lost their legs upon knee. It is important to design proper knee joint to mimic walking motion of hyman. 1 degree-of-freedom active trasfemoral prosthesis leg is designed with knee joint. Operating angle and torque have been calculated using kinematics of three linkages in prosthesis leg. Finite element analysis of major components is performed to evaluate the safety under operating condition and to reduce weights. Minimum volumes of components are obtained by optimization as satisfying safety requirements. The results show that about 35% of weight of components is reduced.

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Development of simulation method for heating line optimization of E-Mold by using commercial CAE softwares (전산모사 프로그램을 이용한 E-MOLD의 Heating Line 배치의 최적화 설계에 관한 연구)

  • Chung, Jae-Youp;Kim, Dong-Hak
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.6
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    • pp.1754-1759
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    • 2008
  • To produce plastic parts that have fine pattern through conventional injection molding, a lot of difficulties follow. Therefore, rapid heating and cooling methods are good candidates for manufacturing injection-molded parts with micro/nano patterns. In this study, we adopted the E-Mold patent technology. The mold for E-Mold technology has a separate heated core with micro heaters. It is very important to optimize the lay-out of the heaters in heated core because it influences both control and distribution of mold temperature. We developed a optimization method of heating line lay-out by using commercial softwares and compared the output with the experimental results. We used Pro-Engineer Wildfire 2.0 for the mold design, ICEMCFD for mesh generation, and FLUENT for heat transfer simulation. The simulation results showed the temperature profile from $60^{\circ}C$ to $120^{\circ}C$ or $180^{\circ}C$ during heating and cooling process which were compared with the injection molding experiments. We concluded that the simulation could well explain the experimental results. It was shown that the E-Mold optimization design for heater lay-out could be available through the simulation.

Multidisciplinary UAV Design Optimization Implementing Multi-Fidelity Analysis Techniques (다정밀도 해석기법을 이용한 무인항공기 다분야통합 최적설계)

  • Lee, Jae-Woo;Choi, Seok-Min;Van, Nguyen Nhu;Kim, Ji-Min;Byun, Yung-Hwan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.8
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    • pp.695-702
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    • 2012
  • In this study, Multi-fidelity analysis is performed to improve the accuracy of analysis result during conceptual design stage. Multidisciplinary Design Optimization(MDO) method is also considered to satisfy the total system requirements. Low-fidelity analysis codes which are based on empirical equations are developed and validated for analyzing the Unmanned Aerial Vehicle(UAV) which have unconventional configurations. Analysis codes consist of initial sizing, aerodynamics, propulsion, mission, weight, performance, and stability modules. Design synthesis program which is composed of those modules is developed. To improve the accuracy of the design method for UAV, Vortex Lattice Method is used for the strategy of MFA. Multi-Disciplinary Feasible(MDF) method is used for MDO technique. To demonstrate the validity of presented method, the optimization results of both methods are compared. According to those results, the presented method is demonstrated to be applicable to improve the accuracy of the analyses during conceptual design stage.

HVAC System Design For Saving Energy Sital Daryanani (에너지절약을 위한 HVAC 계통설계)

  • 대한설비공학회
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.2 no.4
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    • pp.271-273
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    • 1973
  • 에너지 사용의 최적화는 건축설비계통의 각 관점을 다른 모든 사항들과 비교고찰하는 (설치비에 대응하는 장기운전 및 정비의 요구사을 고려하는) HVAC계통설계로부터 얻어 진다. 저자는 최상목표인 쾌적과 경제성을 고려해서 전반적으로 각 분야를 집약한 계통설계의 프로그램을 제시하고 있다.

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The Design of A Machine-independent Global Optimizer for RISC Compilers (RISC 컴파일러의 기계독립적 Global Optimizer 설계)

  • Park, Jong-Deuk;Lim, In-Chil
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.3
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    • pp.40-46
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    • 1990
  • This paper describes a design and an implementation of a machine-independent global optimizer which is a required module of RISC compiler system designs. It receives a triple as input and performs data flow analysis, common subexpression elimination and code motion and finally generates the optimized code. Since the implemented optimizer operates on the machine-independent intermediate code, its portability is good for many high level languages and target machines. It performs the effective optimizations to improve the execution time of programs.

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Design and Optimization Study on the Multi Flight Modes Canard Rotor/Wing Aircraft with Development of Sizing Program (사이징 프로그램 개발을 통한 다중 비행 모드 Canard Rotor/Wing 항공기의 형상 최적설계)

  • Kim, Jong-Hwan;Kim, Min-Ji;Lee, Jae-Woo;Lee, Chang-Jin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.2
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    • pp.22-31
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    • 2005
  • A design study was conducted for a new concept aircraft(Canard Rotor/Wing: CRW) that has the capability of dual mode flight, a rotorcraft and a fixed wing mode. The CRW can show a vertical take off/landing and a high speed/efficiency cruise performance simultaneously. It is not surprising to develop a new sizing code for this class of aircraft because conventional sizing codes developed solely for either the rotary wing or the fixed wing aircraft are not adequate to design a dual mode aircraft operated both by the rotary wing through tip jet effux and the fixed wing lift. Thus, a new design code was developed based on the conventional sizing code by adding some features including rotor performance, duct flow, and engine flow analysis, hence could eventually predict the performance of reaction driven rotor, the flight performance and the flight characteristics. The various design parameters were investigated to find their influences on the flight performance then, a small UAV(Unmanned Aircraft Vehicle) of 1500 lbs class was optimally designed to have minimum weight using the developed sizing code.

A Study on System Optimization of Texaco Gasifer Based IGCC(I) (텍사코 가스화기 적용 석탄가스화 복합발전소 계통 최적화 연구(I))

  • 조상기;김종진;서석빈;이윤경
    • Proceedings of the Korea Society for Energy Engineering kosee Conference
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    • 1999.05a
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    • pp.49-53
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    • 1999
  • 석탄가스화복합발전시스템 설계기술 개발 연구의 일환으로 상용 공정설계 프로그램인 Aspen Plus, Tsweet, Gatecycle을 이용하여 계통구성 최적화 연구를 수행하였다. 석탄은 대동탄(Tatung Coal)을 사용하였으며 그 성상은 <표 1>과 같다. 대동탄은 국내화력발전설비에서 사용되고 있는 모든 석탄을 대상으로 석탄의 특성에 따른 가스화 반응특성을 분석한 결과, 석탄가스화에 가장 적합한 성상으로 나타난 바 있다.(중략)

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Study on the optimal design of floor exhaust system using computational fluid dynamics for subway platform (수치해석을 활용한 승강장 바닥배기 시스템 최적화 연구)

  • Namgung, Hyeong-Gyu;Park, Sechan;Kim, Minhae;Kim, Soo-Yeon;Kwon, Soon-Bark
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.443-449
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    • 2017
  • The imbalance of air supply and the exhaust on subway platforms has led to the installation of platform screen doors in underground subway stations. This imbalance causes the accumulation of pollutants on the platform and loss of comfort due to the lack of ventilation. In this study, a floor exhaust system was optimized using computational fluid dynamics (CFD) and an optimization program. The optimized floor exhaust system was manufactured and tested experimentally to evaluate the particle collection efficiency. CFX 17.0 and HEEDS were used to analyze the flow field and optimize the principal dimensions of the exhaust system. As a result of the three-step optimization, the optimized floor exhaust system had a total height of 1.78 m, pressure drop of 430 Pa, and particle collection capability of 61%. A fine dust particle collection experiment was conducted using a floor exhaust system that was manufactured at full scale based on the optimized design. The experiment indicated about 65% particle collection efficiency. Therefore, the optimized design can be applied to subway platforms to draw in exhaust air and remove particulate matter at the same time.

Sequential Convex Programming Based Performance Analysis of UAV Design (순차 컨벡스 프로그래밍 기반 무인기 설계 형상의 성능 분석)

  • Ko, Hyo-Sang;Choi, Hanlim;Jang, Jong-Youn;Kim, Joon;Ryu, Gu-Hyun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.11
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    • pp.771-781
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    • 2022
  • Sequential convex programming based performance analysis of the designed UAV is performed. The nonlinear optimization problems generated by aerodynamics are approximated to socond order program by discretization and convexification. To improve the performance of the algorithm, the solution of the relaxed problem is used as the initial trajectory. Dive trajectory optimization problem is analyzed through iterative solution procedure of approximated problem. Finally, the maximum final velocity according to the performance of the actuator model was compared.