• Title/Summary/Keyword: Component Map Generation

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Component Map Generation of a Gas Turbine Engine Using Genetic Algorithms and Scaling Method (유전자 알고리즘과 스케일링 기법을 이용한 가스터빈 엔진 구성품 성능선도 개선에 관한 연구)

  • Kho Seong-Hee;Kong Chang-Duk
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2005.11a
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    • pp.299-303
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    • 2005
  • In the present study, in order to improve precision of the component characteristic maps generated by the scaling method, a map generation method which can produce a compressor map from some experimental performance data using GAs(Genetic Algorithms) was proposed. However, in case of the proposed map generation method only using GAs, because it has a drawback for estimating correctly the surge points and the choke points of the compressor map, a modified GAs method was additionally proposed through complementally use of the scaling method to determine obviously those points of the compressor map.

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A Study on Component Map Generation of a Gas Turbine Engine Using Genetic Algorithms (유전자 알고리즘을 이용한 가스터빈 엔진의 구성품 성능선도 생성에 관한 연구)

  • Kong Chang-Duk;Kho Seong-Hee
    • Journal of the Korean Society of Propulsion Engineers
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    • v.8 no.3
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    • pp.44-52
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    • 2004
  • In this study, a component map generation method using experimental data and the genetic algorithms are newly proposed. In order to generate the performance map for components of this engine, after obtaining engine performance data through many experimental tests, and then the third order equations which have relationships the mass flow function the pressure ratio and the isentropic efficiency as to the engine rotational speed were derived by using the genetic algorithms. A steady-state performance analysis was performed with the generated maps of the compressor by the commercial gas turbine performance analysis program GASTURB. In comparison, it was found that the component maps can be generated from the experimental test data by using the genetic algorithms, and it was confirmed that the analysis results using the generated maps were very similar to those using the scaled maps from the GASTURB.

A Study On Component Map Generation Of A Gas Turbine Engine Using Genetic Algorithms (유전자 알고리즘을 이용한 가스터빈 엔진의 구성품 성능선도 생성에 관한 연구)

  • Kong Chang-Duk;Kho Seong-Hee;Choi Hyeon-Gyu
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2004.10a
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    • pp.195-200
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    • 2004
  • In this study, a component map generation method using experimental data and the genetic algorithms are newly proposed. In order to generate the performance map for components of this engine, after obtaining engine performance data through many experimental tests, and then the third order equations which have relationships the mass flow function the pressure ratio and the isentropic efficiency as to the engine rotational speed were derived by using the genetic algorithms. A steady-state performance analysis was peformed with the generated maps of the compressor by the commercial gas turbine performance analysis program GASTURB(1). In comparison, it was found that the component maps can be generated from the experimental test data by using the genetic algorithms, and it was confirmed that the analysis results using the generated maps were very similar to those using the scaled maps from the GASTURB.

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Computer application techniques of initial and modification machining for dies with 3-Dimensional scluptured surfaces (3차원 자유곡면을 갖는 금형의 초기및 수정가공을 위한 컴퓨터 이용기술)

  • 박정현;손주리;박삼진
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.273-278
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    • 1988
  • This paper represents the computer application techniques of initial and modification machining for dies with 3-dimensional scluptured surfaces. All procedures from die design to die machining and measurement are covered. The component of modelling is data management and modification (extrapolation and smoothing), surface modelling, and nc program preparation. Also this paper introduces the utility for successful and efficient operation of system such as map generation, data communication, tool path verification, contour map generation, graphic processing of extrapolation and smoothing results, and CAD/CAM system interface. Examples are given to illustrate the modelling.

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Visible and NIR Image Synthesis Using Laplacian Pyramid and Principal Component Analysis (라플라시안 피라미드와 주성분 분석을 이용한 가시광과 적외선 영상 합성)

  • Son, Dong-Min;Kwon, Hyuk-Ju;Lee, Sung-Hak
    • Journal of Sensor Science and Technology
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    • v.29 no.2
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    • pp.133-140
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    • 2020
  • This study proposes a method of blending visible and near infrared images to enhance edge details and local contrast. The proposed method consists of radiance map generation and color compensation. The radiance map is produced by a Laplacian pyramid and a soft mixing method based on principal component analysis. The color compensation method uses the ratio between the composed radiance map and the luminance channel of a visible image to preserve the visible image chrominance. The proposed method has better edge details compared to a conventional visible and NIR image blending method.

A Study on Compressor Map Identification using Artificial Intelligent Technique and Performance Deck Data (인공지능 및 성능덱 데이터를 이용한 압축기 성능도 식별에 관한 연구)

  • Kong Chang-Duck;Ki Ja-Young;Lee Chang-Ho
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2005.11a
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    • pp.149-153
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    • 2005
  • In order to estimate the gas turbine engine performance precisely, the component maps containing their own performance characteristics should be needed. In this study a component map generation method which may identify compressor map conversely from a performance deck provided by engine manufacturer using genetic algorithms was newly proposed. As a demonstration example for this study, the PW 206C turbo shaft engine for the tilt rotor type Smart UAV (Unmanned Aerial Vehicle). In ordo to verify the proposed method, steady-state performance analysis results using the newly generated compressor map was compared with them performed by EEPP(Estimated Engine Performance Program) deck provided by engine manufacturer. And also the performance results using the identified maps were compared with them using the traditional scaling method. In this investigation, it was found that the newly proposed map generation method would be more effective than the traditional scaling method.

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A Study on Compressor Map Identification using Artificial Intelligent Technique and Performance Deck Data (인공지능 및 성능덱 데이터를 이용한 압축기 성능도 식별에 관한 연구)

  • Ki Ja-Young;Kong Chang-Duck;Lee Chang-Ho
    • Journal of the Korean Society of Propulsion Engineers
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    • v.9 no.4
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    • pp.81-88
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    • 2005
  • In order to estimate the gas turbine engine performance precisely, the component maps containing their own performance characteristics should be needed. In this study a component map generation method which may identify compressor map conversely from a performance deck provided by engine manufacturer using genetic algorithms was newly proposed. As a demonstration example for this study, the PW 206C turbo shaft engine for the tilt rotor type Smart UAV(Unmanned Aerial Vehicle). In order to verify the proposed method, steady-state performance analysis results using the newly generated compressor map was compared with them performed by EEPP(Estimated Engine Performance Program) deck provided by engine manufacturer. And also the performance results using the identified maps were compared with them using the traditional scaling method. When the performance analysis is performed at far away operation conditions from the design point, in case of use of e component map by the traditional scaling method, the error of the performance analysis results is greatly increasing. In the other hand, if in case of use of the compressor map generated by the proposed GAs scheme, the performance analysis results are closely met with those by the performance deck, EEPP.

A Study of Inverse Modeling from Micro Gas Turbine Experimental Test Data (소형 가스터빈 엔진 실험 데이터를 이용한 역모델링 연구)

  • Kong, Chang-Duk;Lim, Se-Myeong
    • Journal of the Korean Society of Propulsion Engineers
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    • v.13 no.6
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    • pp.1-7
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    • 2009
  • The gas turbine engine performance is greatly relied on its component performance characteristics. Generally, acquisition of component maps is not easy for engine purchasers because it is an expensive intellectual property of gas turbine engine supplier. In the previous work, the maps were inversely generated from engine performance deck data, but this method is limited to obtain the realistic maps due to calculated performance deck data. Therefore this work proposes newly to generate more realistic compressor map from experimental performance test data. And then a realistic compressor map can be generated form those processed data using the proposed extended scaling method at each rotational speed. Evaluation can be made through comparison between performance analysis results using the performance simulation program including the generated compressor map and on-condition monitoring performance data.

Development of Automatic Support Structure Generation System for Effective Building of Stereolithographic Parts (광조형물의 효율적 성형을 위한 지지대 자동 생성 시스템 개발)

  • 최홍태;배용환;이석희
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.7
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    • pp.7-17
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    • 1998
  • Stereolithography is a process used to rapidly produce stereolithographic parts directly from three dimensional CAD models. However design methodologies to create components to be built by stereolithography are different from those required by conventional machining processes. As a typical case in point, the support structures are required to support a component at build stage, but are later removed once building and curing are complete. These structures are used to anchor the component to the platform and to prevent sagging or distortion. This paper deals with the Support Map data structure prepared to find the appropriate regions of supports. Interferences between supports and parts, and support structure themselves as well, are checked and thus the system are searching the statically stable regions to remove the surplus support structures. Cross shaped tooth profiles are designed for easy eliminating the support structures.

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Study on Component Map Generation and Performance Simulation of 2-spool Separate Flow Type Turbofan Engine Using SIMULINK (SIMULINK를 이용한 2-스풀 분리형 배기방식 터보팬 엔진의 구성품 성능맵 생성 및 성능모사에 관한 연구)

  • Kong, Changduk;Kang, MyoungCheol;Park, Gwanglim
    • Journal of the Korean Society of Propulsion Engineers
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    • v.17 no.1
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    • pp.70-79
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    • 2013
  • In this work, a steady-state performance modeling and off-design performance analysis of the 2-spool separate-flow turbofan engine named (BR715-56) which is a power plant for the narrow body commercial aircraft is carried out for engine performance behaviors investigation and condition monitoring using a commercial code MATLAB/SIMULINK. Firstly, the engine component maps of fan, high pressure compressor, high pressure turbine and low pressure turbine are generated from similar component maps using the scaling method, and then the off-design performance simulation model is constructed by the mass flow matching and the work matching between components. The model is developed using SIMULINK, which has advantages of easy steady-stare and dynamic modelling and user friendly interface function. It is found that the off-design performance analysis results using the proposed model are well agreed with the performance analysis results by GASTURB at various operating conditions.