Space applications often utilize the NASA developed Systems Improved Numerical Differencing Analyzer (SINDA) for thermal systems analysis. SINDA is primarily meant to be a computer programming language designed to assist in the solution of finite difference problems. However, due to a substantial desire to maintain backwards compatibility, SINDAs development environment and performance have lagged behind modern capabilities and techniques. Some such techniques are object oriented programming, integrated debugger, and parallel processing. In the development of the enhanced Multi-Mission Radioisotope Thermoelectric Generator (eMMRTG), a substantial need for the development of a modern SINDA replacement was needed. This need prompted the creation of the Centralized Math Engine or CME. The theory, design, development and a few implementation examples are discussed in detail. The thermal models require substantially less time to develop, requiring approximately 80 vs 280 man-hours. A specific thermal model showed a speed up of 18.75x versus the SINDA equivalent due to the use of more sophisticated linear solvers.


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    Title :

    An advanced high performance replacement for (SINDA) systems improved numerical differencing analyzer


    Contributors:


    Publication date :

    2017-03-01


    Size :

    604933 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English