지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2016.12
- 수록면
- 521 - 524 (4page)
이용수
초록· 키워드
오류제보하기
Nuclear thermal propulsion (NTP) has been identified as the preferred propulsion technology for manned missions to Mars in NASA"s Design Reference Architecture (DRA) [1]. The ability to predict the system performance of a nuclear reactor rocket under a variety of operating conditions is a critical part in the development of NTP. The development of system models has the potential to reduce the design, testing, time and cost required to reach flight-ready status.
In this study a commercial flow network tool, Flownex®, was used in the development of a system model to model a nuclear reactor rocket. 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. By using Flownex®, a nuclear reactor rocket could be modeled and various operating conditions could be investigated during steady-state and transient simulations.
In this study a commercial flow network tool, Flownex®, was used in the development of a system model to model a nuclear reactor rocket. 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. By using Flownex®, a nuclear reactor rocket could be modeled and various operating conditions could be investigated during steady-state and transient simulations.
목차
1. INTRODUCTION
2. PROBLEM DEFINITION
3. NETWORK APPROACH
4. NETWORK MODEL
5. NETWORK RESULTS
6. CONCLUSION
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