System model development for nuclear thermal propulsion

Details System model development for nuclear thermal propulsion System model development for nuclear thermal propulsion

Aug 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992stin...9310457w&link_type=abstract

Presented at the World Space Congress, Washington, DC, 2-5 Sep. 1992; sponsored by AIAA

Computer Science

Performance

Control Systems Design, Failure Modes, Nuclear Propulsion, Space Exploration, Spacecraft Propulsion, Steady State, Systems Engineering, Testing Time, Computer Programs, Controllers, Defense Program, Design To Cost, Shutdowns

Scientific paper

A critical enabling technology in the evolutionary development of nuclear thermal propulsion (NTP) is the ability to predict the system performance under a variety of operating conditions. This is crucial for mission analysis and for control subsystem testing as well as for the modeling of various failure modes. Performance must be accurately predicted during steady-state and transient operation, including startup, shutdown, and post operation cooling. The development and application of verified and validated system models has the potential to reduce the design, testing, and cost and time required for the technology to reach flight-ready status. Since Oct. 1991, the U.S. Department of Energy (DOE), Department of Defense (DOD), and NASA have initiated critical technology development efforts for NTP systems to be used on Space Exploration Initiative (SEI) missions to the Moon and Mars. This paper presents the strategy and progress of an interagency NASA/DOE/DOD team for NTP system modeling. It is the intent of the interagency team to develop several levels of computer programs to simulate various NTP systems. The first level will provide rapid, parameterized calculations of overall system performance. Succeeding computer programs will provide analysis of each component in sufficient detail to guide the design teams and experimental efforts. The computer programs will allow simulation of the entire system to allow prediction of the integrated performance. An interagency team was formed for this task to use the best capabilities available and to assure appropriate peer review.

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