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논문 기본 정보

자료유형
학술대회자료
저자정보
Vincent Britz (M-Tech Industrial) Bennie Du Toit (M-Tech Industrial) 전형택 (CMSI)
저널정보
한국추진공학회 한국추진공학회 학술대회논문집 한국추진공학회 2016년도 제47회 추계학술대회 논문집
발행연도
2016.12
수록면
314 - 317 (4page)

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Accurate prediction of turbo machinery flow is essential during the design process of gas turbines. Substantial progress has been made in this area with three-dimensional calculation techniques of increasing complexity helped by computer hardware developments. Encouraging results are obtained from this work, however three-dimensional analysis is still very time consuming, both to describe the machine geometry and to obtain the results. These methods consequently are appropriate for use in the design context only when a finalized design is approached. In preliminary design a need exists for a less sophisticated but none the less reliable prediction technique suitable for use in iterative type calculations. In this study a commercial flow network tool, Flownex®, was used to model a portion of the secondary flow path in a gas turbine. The integrated mass, momentum and energy balance is solved using the continuity, momentum and energy equations applied to nodes and elements. These nodes and elements are the modular building blocks, typically semi-empirical and allow users to either select appropriate built-in correlations, or to define using specific equations through scripting. The method is tested using an optimization exercise. The results prove that this method of flow network modeling is an efficient way to optimize secondary flow geometry in the preliminary design stages of turbo machinery.

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ABSTRACT
1. INTRODUCTION
2. PROBLEM DEFINITION
3. NETWORK APPROACH
4. NETWORK MODEL
5. OPTIMISATION RESULTS
6. CONCLUSION
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