• 제목/요약/키워드: Fuel design and optimization

검색결과 287건 처리시간 0.028초

APR-1400 원전을 위한 비균질 토륨핵연료 노심설계 방안연구 (A study on APR-1400 core design for heterogeneous thorium fuel)

  • 배강목;김관희;김명현
    • 한국에너지공학회:학술대회논문집
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    • 한국에너지공학회 2002년도 춘계 학술발표회 논문집
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    • pp.135-141
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    • 2002
  • PWR에의 토륨 핵연료 운용방안의 하나로 제안되었던 KTF 설계안을 바탕으로, APR-1400 노심에 맞게 설계변수에 빠른 최적화를 수행하였다. 최적화 방향은 핵확산 저항성 증대와 경제성 제고를 목표로 하였으며 최적화의 설계 기준은 핵확산 저항성의 경우 SNS, TG, BCM, Toxicity를 기준으로 하고 경제성은 FEI라는 새로운 지수를 사용하여 두 가지 모두 최대가 되는 방향으로 최적화하였다. 최적 설계안을 이용하여 APR-1400의 노심을 설계하는 과정을 여러 측면에서 검토하였으며, 비균질 노심에 토륨핵연료집합체를 사용한 설계안이 안전성 및 경제적 타당성을 갖음을 확인하였다.

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이중 오리피스 연료 노즐 최적설계 (Optimum Design of Dual Orifice Fuel Nozzle)

  • 임오강;최은호;김성섭
    • 한국전산구조공학회논문집
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    • 제20권4호
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    • pp.407-416
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    • 2007
  • 가스터빈에서 연료 분무 노즐은 연소 특성에 영향을 미치는 중요한 부품이다. 스월 분무 장치를 설계하기 위하여 유량과 분무액적 평균 직경을 설계변수로 정하고 연료 분무 노즐의 최적화를 수행하였다. 설계변수는 이중 노즐의 실험값들을 비교하여 중요한 영향을 미치는 변수로 선정하였다. 민감도는 유량과 분무액적 평균 직경의 변화에 따른 값을 사용하였다. 이중 오리피스형 스월 분무장치의 형상 최적설계를 통하여 유량의 미립화를 높이도록 연구하였다. 최적설계를 위하여 실험 계획법을 이용하였으며, 영향을 적게 미치는 설계변수들은 설계대상에서 제외하였다. 분무 노즐의 분무액적 평균 직경을 사용한 결과는 Jasuja의 액적 평균 이론을 이용하여 도출된 결과와 유사함을 알 수 있었다. 연구 결과는 이중 오리피스형스월 분무장치와 이와 비슷한 종류의 노즐 최적화를 위한 특성을 파악하고 최적의 유량과 허용 공차를 제시하였다.

부분부하에서 비에스테르화 바이오디젤 5% 혼합유의 성능최적화를 위한 실험계획법 적용에 관한 연구 (A study on the application of DOE for optimization of blending oil with non-esterified biodiesel fuel at partial engine load)

  • 김희중;고대권;양주호;고성위;김영식;정태영;정석호
    • 동력기계공학회지
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    • 제20권2호
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    • pp.51-57
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    • 2016
  • Non-esterified biodiesel fuel is cheaper than esterified that because of a simple manufacturing process that only consists of filtering. Applicability of this on diesel engine with electronic control system was accomplished, then optimization adopting a fractional factorial design and response surface methodology was carried out at 25% and 50% of engine load in this study. Pressure of common rail and injection timing mainly effected on responses as specific fuel oil consumption and nitrogen oxides regardless of engine load. Estimations were 310.3 g/kWh of specific fuel oil consumption and 237 ppm of nitrogen oxides at 25% load, and 233.2 g/kWh of specific fuel oil consumption and 730 ppm of nitrogen oxides at 50% load. Tests to verify these estimations were accomplished and as the results, specific fuel oil consumption was 300.4 g/kWh and NOx was 277 ppm at 25% load and 236.8 g/kWh and 573 ppm at 50% load.

kW급 SOFC 시스템용 개질기 최적화 (A Study on Optimization of Reformer for kW Class SOFC System)

  • 이용;박세진;김민수;신장식;신석재
    • 한국수소및신에너지학회논문집
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    • 제29권4호
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    • pp.317-323
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    • 2018
  • Solid oxide fuel cell (SOFC) operates at high temperature, therefor has the advantage of higher power generation and using exhaust heat than other fuel cells. In particular, the reforming reaction can be performed inside the SOFC stack to reduce the cooling of the stack and the burden on the reformer reactor. In this study, the reformer structure, operating characteristics, and thermal efficiency were evaluated for the optimization design of a heat exchanger type reformer of a 1 kW SOFC system.

Simulation, analysis and optimal design of fuel tank of a locomotive

  • Yousefi, A. Karkhaneh;Nahvi, H.;Panahi, M. Shariat
    • Structural Engineering and Mechanics
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    • 제50권2호
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    • pp.151-161
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    • 2014
  • In this paper, fuel tank of the locomotive ER 24 has been studied. Firstly the behavior of fuel and air during the braking time has been investigated by using a two-phase model. Then, the distribution of pressure on the surface of baffles caused by sloshing has been extracted. Also, the fuel tank has been modeled and analyzed using Finite Element Method (FEM) considering loading conditions suggested by the DIN EN 12663 standard and real boundary conditions. In each loading condition, high stressed areas have been identified. By comparing the distribution of pressure caused by sloshing phenomena and suggested loading conditions, optimization of the tank has been taken into consideration. Moreover, internal baffles have been investigated and by modifying their geometric properties, search of the design space has been done to reach the optimal tank. Then, in order to reduce the mass and manufacturing cost of the fuel tank, Non-dominated Sorting Genetic Algorithm (NSGA-II) and Artificial Neural Networks (ANNs) have been employed. It is shown that compared to the primary design, the optimized fuel tank not only provides the safety conditions, but also reduces mass and manufacturing cost by %39 and %73, respectively.

Performance Analysis of an Aircraft Gas Turbine Engine using Particle Swarm Optimization

  • Choi, Jae Won;Sung, Hong-Gye
    • International Journal of Aeronautical and Space Sciences
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    • 제15권4호
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    • pp.434-443
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    • 2014
  • A turbo fan engine performance analysis and the optimization using particle swarm optimization(PSO) algorithm have been conducted to investigate the effects of major performance design parameters of an aircraft gas turbine engine. The FJ44-2C turbofan engine, which is widely used in the small business jet, CJ2 has been selected as the basic model. The design parameters consists of the bypass ratio, burner exit temperature, HP compressor ratio, fan inlet mass flow, and nozzle cooling air ratio. The sensitivity analysis of the parameters has been evaluated and the optimization of the parameters has been performed to achieve high net thrust or low specific fuel consumption.

크리깅 모델을 이용한 자동차용 벤트 밸브의 최적설계 (Design Optimization of an Automotive Vent Valve Using Kriging Models)

  • 박창현;이영미;최동훈
    • 한국자동차공학회논문집
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    • 제19권6호
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    • pp.1-9
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    • 2011
  • In this study, the specifications of the components of the vent vale were optimally determined in order to enhance the performance of the vent valve. Design objective was to minimize fuel leakage while satisfying the design constraints on the performance indices. To obtain the optimum solution based on real experiments, several design techniques available in PIAnO, a commercial PIDO tool, were used. First, an orthogonal array was used to generate training design points and then real experiments were performed to measure the experimental data at the training design points. Next, Kriging metamodels for the objective function and design constraints were generated using the experimental data. Finally, a genetic algorithm was employed to obtain the optimization results using the Kriging models. Fuel leakage of the optimized vent valve was found to be reduced by 95.8% compared to that of the initial one while satisfying all the design constraints.

Optimization of structural elements of transport vehicles in order to reduce weight and fuel consumption

  • Kovacs, Gyorgy
    • Structural Engineering and Mechanics
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    • 제71권3호
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    • pp.283-290
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    • 2019
  • In global competition manufacturing companies have to produce modern, new constructions from advanced materials in order to increase competitiveness. The aim of my research was to develop a new composite cellular plate structure, which can be primarily used for structural elements of road, rail, water and air transport vehicles (e.g. vehicle bodies, ship floors). The new structure is novel and innovative, because all materials of the components of the newly developed structure are composites (laminated Carbon Fiber Reinforced Plastic (CFRP) deck plates with pultruded Glass Fiber Reinforced Plastic (GFRP) stiffeners), furthermore combines the characteristics of sandwich and cellular plate structures. The material of the structure is much more advantageous than traditional steel materials, due mainly to its low density, resulting in weight savings, causing lower fuel consumption and less environmental damage. In the study the optimal construction of a given geometry of a structural element of a road truck trailer body was defined by single- and multi-objective optimization (minimal cost and weight). During the single-objective optimization the Flexible Tolerance Optimization method, while during the multi-objective optimization the Particle Swarm Optimization method were used. Seven design constraints were considered: maximum deflection of the structure, buckling of the composite plates, buckling of the stiffeners, stress in the composite plates, stress in the stiffeners, eigenfrequency of the structure, size constraint for design variables. It was confirmed that the developed structure can be used principally as structural elements of transport vehicles and unit load devices (containers) and can be applied also in building construction.

구조 최적 설계기법을 이용한 ULSAB 개념의 자동차 도어 설계 (The Automotive Door Design with the ULSAB Concept Using Structural Optimization)

  • 신정규;송세일;이권희;박경진
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2000년도 봄 학술발표회논문집
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    • pp.187-194
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    • 2000
  • Weight reduction for an automobile body is being sought for the fuel efficiency and the energy conservation. One way of the efforts is adopting Ultra Light Steel Auto Body (ULSAB) concept. The ULSAB concept can be used for the light weight of an automobile door with the tailor welded blank (TWB). A design process is defined for the TWB. The inner panel of door is designed by the TWB and optimization. The design starts from an existing component. At first, the hinge and inner reinforcements are removed. In the conceptual design stage, topology optimization is conducted to find the distribution of variable thicknesses. The number of parts and the welding lines are determined from the topology design. In the detailed design process, size optimization is carried out to find thickness while stiffness constraints are satisfied. The final parting lines are determined by shape optimization.

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연비를 고려한 차량 및 적응형 순항 제어 파라미터의 크리깅 대체모델 기반 최적설계 (Kriging Surrogate Model-based Design Optimization of Vehicle and Adaptive Cruise Control Parameters Considering Fuel Efficiency)

  • 김한수;송유호;이승하;허건수;이태희
    • 대한기계학회논문집A
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    • 제41권9호
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    • pp.817-823
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    • 2017
  • 기존에는 연비를 고려한 적응형 순항 제어 알고리즘 개발과 연비 등의 성능을 고려한 적응형 순항 제어 시스템 개발 연구가 수행되었지만, 제어 파라미터를 포함한 차량 파라미터의 적응형 순항 제어에 대한 최적설계 연구는 미흡한 편이다. 이에 본 논문에서는 연비, 추종성, 승차감, 안전거리를 고려한 차량 및 제어 파라미터 최적설계를 수행하고자 한다. 이를 위해 차량 거동의 성능 측정 방법을 제안하고 적응형 순항 제어 시스템을 구축하였다. 그리고 성능에 주요한 영향을 미치는 차량 파라미터를 선별하여 이를 토대로 순차적 실험계획을 통해 크리깅 대체모델을 구축하였고, 연비를 최대화하며 목표 성능을 만족하는 크리깅 대체모델 기반 최적설계를 수행하였다.