• 제목/요약/키워드: Turbofan

검색결과 84건 처리시간 0.025초

블레이드 손상에 따른 이축식 터보팬 엔진의 동적 안정성 해석 (Rotordynamic Analysis of a Dual-Spool Turbofan Engine with Focus on Blade Defect Events)

  • 김시태;정기현;이준호;박기현;양광진
    • Tribology and Lubricants
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    • 제36권2호
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    • pp.105-115
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    • 2020
  • This paper presents a numerical study on the rotordynamic analysis of a dual-spool turbofan engine in the context of blade defect events. The blades of an axial-type aeroengine are typically well aligned during the compressor and turbine stages. However, they are sometimes exposed to damage, partially or entirely, for several operational reasons, such as cracks due to foreign objects, burns from the combustion gas, and corrosion due to oxygen in the air. Herein, we designed a dual-spool rotor using the commercial 3D modeling software CATIA to simulate blade defects in the turbofan engine. We utilized the rotordynamic parameters to create two finite element Euler-Bernoulli beam models connected by means of an inter-rotor bearing. We then applied the unbalanced forces induced by the mass eccentricities of the blades to the following selected scenarios: 1) fully balanced, 2) crack in the low-pressure compressor (LPC) and high pressure compressor (HPC), 3) burn on the high-pressure turbine (HPT) and low pressure compressor, 4) corrosion of the LPC, and 5) corrosion of the HPC. Additionally, we obtained the transient and steady-state responses of the overall rotor nodes using the Runge-Kutta numerical integration method, and employed model reduction techniques such as component mode synthesis to enhance the computational efficiency of the process. The simulation results indicate that the high-vibration status of the rotor commences beyond 10,000 rpm, which is identified as the first critical speed of the lower speed rotor. Moreover, we monitored the unbalanced stages near the inter-rotor bearing, which prominently influences the overall rotordynamic status, and the corrosion of the HPC to prevent further instability. The high-speed range operation (>13,000 rpm) coupled with HPC/HPT blade defects possibly presents a rotor-case contact problem that can lead to catastrophic failure.

터보팬 엔진의 축류압축기 서지가 엔진성능에 미치는 영향 (Effects of Axial Flow Compressor Surge on the Performance of Turbofan Engine)

  • 오창용;구자예
    • 한국추진공학회지
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    • 제13권3호
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    • pp.1-8
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    • 2009
  • 본 연구에서는 비행 중 PW4000 엔진의 축류압축기에서 발생된 서지 현상이 엔진성능에 미치는 영향에 대하여 연구하였다. 이륙조건에서는 항공기의 엔진성능이 급격히 변화하므로 순항할 때 보다 자주 서지가 발생할 수 있다고 판단된다. EPR은 서지 발생과 동시에 급격히 저하하는 것으로 나타나 민감도가 가장 컸다. 엔진 rpm과 Wf도 EPR과 거의 동일한 경향이었으며, Vibration 변화는 크지 않았으나 N1 Vibration 변화가 상대적으로 크게 나타났다. 따라서 비행 중 EPR, N1 rpm, Wf 값이 급격히 저하되고 EGT가 비선형적으로 상승하는 상태를 서지 발생 감지에 적용할 수 있을 것으로 판단된다.

Propulsion System Modeling and Reduction for Conceptual Truss-Braced Wing Aircraft Design

  • Lee, Kyunghoon;Nam, Taewoo;Kang, Shinseong
    • International Journal of Aeronautical and Space Sciences
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    • 제18권4호
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    • pp.651-661
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    • 2017
  • A truss-braced wing (TBW) aircraft has recently received increasing attention due to higher aerodynamic efficiency compared to conventional cantilever wing aircraft. For conceptual TBW aircraft design, we developed a propulsion-and-airframe integrated design environment by replacing a semi-empirical turbofan engine model with a thermodynamic cycle-based one built upon the numerical propulsion system simulation (NPSS). The constructed NPSS model benefitted TBW aircraft design study, as it could handle engine installation effects influencing engine fuel efficiency. The NPSS model also contributed to broadening TBW aircraft design space, for it provided turbofan engine design variables involving a technology factor reflecting progress in propulsion technology. To effectively consolidate the NPSS propulsion model with the TBW airframe model, we devised a rapid, approximate substitute of the NPSS model by reduced-order modeling (ROM) to resolve difficulties in model integration. In addition, we formed an artificial neural network (ANN) that associates engine component attributes evaluated by object-oriented weight analysis of turbine engine (WATE++) with engine design variables to determine engine weight and size, both of which bring together the propulsion and airframe system models. Through propulsion-andairframe design space exploration, we optimized TBW aircraft design for fuel saving and revealed that a simple engine model neglecting engine installation effects may overestimate TBW aircraft performance.

터보팬 엔진의 축류압축기 서지가 엔진성능에 미치는 영향 (Effects of Axial Flow Compressor Surge on the Performance in Turbofan Engine)

  • 오창용;구자예
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2008년도 제30회 춘계학술대회논문집
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    • pp.236-239
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    • 2008
  • 본 연구에서는 PW4000 엔진의 축류압축기 서지 발생이 엔진성능에 미치는 영향에 대하여 연구하였다. EPR은 서지 발생과 동시에 급격히 저하하는 것으로 나타나 민감도가 가장 큰 파라미터였다. N1 rpm과 N2 rpm도 EPR과 거의 동일한 경향으로 감소하였으며, Vibration 변화는 크지 않았으나 N1 Vibration 변화가 상대적으로 크게 나타났다. 따라서 비행중 EPR, N1 rpm, Wf 값이 급격히 저하되고 EGT가 비선형적으로 상승하는 상태로서 서지 발생을 감지할 수 있을 것으로 판단된다.

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항공기용 터보팬 엔진의 성능변수를 이용한 정비 주기 및 비용 예측에 관한 연구 (An Approach to Maintenance Cost Estimation for Aircraft Turbofan Engines)

  • 강명철;;;공창덕
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2008년도 제30회 춘계학술대회논문집
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    • pp.257-262
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    • 2008
  • 본 연구에서는 항공기용 엔진의 성능 및 기하학적 데이타를 입력 값으로 하여 창정비 주기 및 비용을 예측할 수 있는 새로운 방법을 제시하였다. 엔진의 순주기비용 중에서 엔진의 성능과 가장 밀접하게 관련된 부분은 연료비용과 정비비용이다. 큰 비중을 차지하는 정비비용의 예측은 경제적인 정비계획을 수립하기 위하여 정확한 예측이 필요하다. 현재 운용중인 상업용 항공기 엔진들의 성능 및 정비 비용 요소 데이터베이스를 구성하여 그 사이의 통계적 관계식을 이용하여 정비비용을 예측하는 연구를 수행하였다. 예측결과는 이전 식들의 결과와 비교하였으며 보다 세밀하고 신뢰성 있는 결과를 얻을 수 있었다.

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비장착 나셀의 역추력기 형상에 대한 3차원 Euler 유동해석 (Performance Evaluation of a Thrust Reverser Using an Euler Solver)

  • 김수미;양수석;이대성
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 1999년도 추계 학술대회논문집
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    • pp.167-173
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    • 1999
  • An Euler-based CFD tool has been developed for the performance evaluation of a thrust reverser mounted on a high bypass ratio turbofan engine. The computational domain surrounded by the ground and non-reflection boundary includes the whole nacelle configuration with a deployed thrust reverser. The numerical algorithm is based on the modified Godunovs scheme to allow the second order accuracy in both space and time. The grid system is generated by using eleven multi-blocks, of which the total cell number is 148,400. The thrust reverser is modeled as if it locates at the nacelle simply in all circumferential direction. The existence of a fan and an OGV(Outlet Guide Vane) is simulated by adopting the actuator disk concept, in which predetermined radial distributions of stagnation pressure ratio and adiabatic efficiency coefficient are used for the rotor type disk, and stagnation pressure losses and flow outlet angles for the stator type disk. All boundary conditions including the fan and OGV simulation are treated by Riemann solver. The developed solver is applied to a turbofan engine with a bypass ratio of about 5.7 and the diameter of the fan cowl of 83 inch. The computational results show that the Euler-based inviscid method is very useful and economical to evaluate the performance of thrust reversers.

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Trend Monitoring of A Turbofan Engine for Long Endurance UAV Using Fuzzy Logic

  • Kong, Chang-Duk;Ki, Ja-Young;Oh, Seong-Hwan;Kim, Ji-Hyun
    • International Journal of Aeronautical and Space Sciences
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    • 제9권2호
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    • pp.64-70
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    • 2008
  • The UAV propulsion system that will be operated for long time at more than 40,000ft altitude should have not only fuel flow minimization but also high reliability and durability. If this UAV propulsion system may have faults, it is not easy to recover the system from the abnormal, and hence an accurate diagnostic technology must be needed to keep the operational reliability. For this purpose, the development of the health monitoring system which can monitor remotely the engine condition should be required. In this study, a fuzzy trend monitoring method for detecting the engine faults including mechanical faults was proposed through analyzing performance trends of measurement data. The trend monitoring is an engine conditioning method which can find engine faults by monitoring important measuring parameters such as fuel flow, exhaust gas temperatures, rotational speeds, vibration and etc. Using engine condition database as an input to be generated by linear regression analysis of real engine instrument data, an application of the fuzzy logic in diagnostics estimated the cause of fault in each component. According to study results. it was confirmed that the proposed trend monitoring method can improve reliability and durability of the propulsion system for a long endurance UAV to be operated at medium altitude.

터보팬 엔진 고압터빈 노즐에 대한 크리깅 모델 기반 근사모델의 신뢰도 및 공력성능 최적화 연구 (A Study on Reliability of Kriging Based Approximation Model and Aerodynamic Optimization for Turbofan Engine High Pressure Turbine Nozzle)

  • 이상아;이세일;강영석;이동호;이동호;김규홍
    • 한국유체기계학회 논문집
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    • 제16권6호
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    • pp.32-39
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    • 2013
  • In the present study, three-dimensional aerodynamic optimization of high pressure turbine nozzle for turbofan engine was performed. For this, Kriging surrogate model was built and refined iteratively by supplying additional experimental points until the surrogate model and CFX result has effective difference on objective function. When the surrogate model satisfied this reliability condition and developed enough, optimum point was investigated. Commercial program PIAnO was used for optimization process and evolutionary algorithm was used for searching optimum point. As a result, difference between estimated value from Kriging surrogate model and CFD result converges within 0.01% and the optimized nozzle shape has 0.83% improved aerodynamic efficiency.

k-NN을 활용한 터보팬 엔진의 잔여 유효 수명 예측 모델 제안 (A Proposal of Remaining Useful Life Prediction Model for Turbofan Engine based on k-Nearest Neighbor)

  • 김정태;서양우;이승상;김소정;김용근
    • 한국산학기술학회논문지
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    • 제22권4호
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    • pp.611-620
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    • 2021
  • 정비 산업은 사후정비, 예방정비를 거쳐, 상태기반 정비를 중심으로 진행되고 있다. 상태기반 정비는 장비의 상태를 파악하여, 최적 시점에서의 정비를 수행한다. 최적의 정비 시점을 찾기 위해서는 장비의 상태, 즉 잔여 유효 수명을 정확하게 파악하는 것이 중요하다. 이에, 본 논문은 시뮬레이션 데이터(C-MAPSS)를 사용한 터보팬 엔진의 잔여 유효수명(RUL, Remaining Useful Life) 예측 모델을 제시한다. 모델링을 위해 C-MAPSS(Commercial Modular Aero-Propulsion System Simulation) 데이터를 전처리, 변환, 예측하는 과정을 거쳤다. RUL 임계값 설정, 이동평균필터 및 표준화를 통해 데이터 전처리를 수행하였고, 주성분 분석(Principal Component Analysis)과 k-NN(k-Nearest Neighbor)을 활용하여 잔여 유효 수명을 예측하였다. 최적의 성능을 도출하기 위해, 5겹 교차검증기법을 통해 최적의 주성분 개수 및 k-NN의 근접 데이터 개수를 결정하였다. 또한, 사전 예측의 유용성, 사후 예측의 부적합성을 고려한 스코어링 함수(Scoring Function)를 통해 예측 결과를 분석하였다. 마지막으로, 현재까지 제시되어온 뉴럴 네트워크 기반의 알고리즘과 예측 성능 비교 및 분석을 통해 k-NN 활용 모델의 유용성을 검증하였다.