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  • 1
    Publication Date: 2019-09-07
    Description: Thermal engineers often create custom heat maps to analyze their thermal model. However, generating a heat map is difficult because thermal simulation only readily provide attributes of simulated nodes such as temperature, capacitance, heat generation, and a network of conductances. Heat flow values are a derived quantity from the nodal attributes, and the data processing and management of heat flow between nodes quickly become difficult for large models. Deriving a network of heat flow values requires vast amount of calculations and data handling, heat map generation process generally suffers from processing speed, loss of accuracy, and/or presentation of data in a useful format. Heat Analysis Manager (HAM) is a Thermal Desktop (TD) based free multi-purpose tool developed to aid thermal engineers in analyzing their thermal model, including a heat map generation functionality. HAMs heat map generator retains accuracy and fast processing speed by utilizing TDs application programming interface (API) and built-in TDs Qflow from Results. Furthermore, HAMs heat map output is presented in an easily customizable format in Excel, allowing users to create various custom visual heat maps. A full description of how HAM utilizes TDs API to create a customizable heat map is provided. A simple model demonstration is included along with step-by-step procedures on creating custom heat maps. HAMs heat map result has been verified against TDs and other heat map generation software, and verification methods are also included.
    Keywords: Computer Programming and Software
    Type: GSFC-E-DAA-TN70479 , Thermal & Fluids Analysis Workshop (TFAWS 2019); Aug 26, 2019 - Aug 30, 2019; Hampton, VA; United States
    Format: application/pdf
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  • 2
    Publication Date: 2019-09-21
    Description: In this presentation, the theory and application of multi-layer insulation (MLI) behavior, with a specific focus on lower temperature applications (〈180K), is discussed. Many parameters can affect the performance of MLI (i.e. construction method, size, materials, grounding, penetrations, etc.) and these factors can make the prediction of MLI performance a challenge. Often, MLI performance is measured in terms of estar, and analysts commonly apply bias between a high and a low estar value. However, this approach can be dangerous when a mission goes through a wide range of temperatures during its lifetime (such as our mission, L'Ralph) due to temperature dependence of estar, with estar values increasing exponential as temperatures get colder. Many research papers and correlations have been published about MLI behavior, showing how estar values can rapidly rise at low temperatures. These correlations also show how the different parameters of MLI can affect and amplify this growth. Various correlations are presented as well as how L'Ralph is approaching the MLI problem. L'Ralph thermal model is built with Thermal Desktop (TD), and a discussion of how to apply the temperature dependent MLI behavior within TD is included. The presentation also includes reviews of different methods of mitigating heat leaks through MLI, touching briefly on topics such as integrated-MLI (IMLI), Dacron vs silk netting, and using multi-layered meshes to improve estar performance.
    Keywords: Fluid Mechanics and Thermodynamics
    Type: GSFC-E-DAA-TN70495 , Thermal & Fluids Analysis Workshop (TFAWS 2019); Aug 26, 2019 - Aug 30, 2019; Hampton, VA; United States
    Format: application/pdf
    Location Call Number Expected Availability
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