Post Processing Graphical User Interface for Heat Flow Visualization

Fuente: arXiv
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Autori principali: Olt, Lars, Flores, Luis Diego Fonseca, Mckinley, Ian
Natura: Preprint
Pubblicazione: 2025
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author Olt, Lars
Flores, Luis Diego Fonseca
Mckinley, Ian
author_facet Olt, Lars
Flores, Luis Diego Fonseca
Mckinley, Ian
contents Thermal Desktop (TD) is an industry-standard thermal analysis tool used to create and analyze thermal models for landers, rovers, spacecraft, and instrument payloads. Currently, limited software exists to extract and visualize metrics relevant to heat flow within TD, impeding thermal engineers from analyzing their results quickly. This paper discusses a graphical user interface (GUI) built in MATLAB and C++ which uses TDs application programming interface (API), OpenTD, and a custom parser to address this void. Specifically, we present a method for efficiently loading temperature, conductance, and submodel metrics using a side effect of TDs Compressed Solution Results (CSR) files. This approach can reduce the runtime for correlating model nodes and conductors with submodel IDs by orders of magnitude. Lastly, we reflect on the shortcomings of this method for reading data, consider the future of the GUI, and provide recommendations for subsequent OpenTD releases.
format Preprint
id arxiv_https___arxiv_org_abs_2511_07709
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Post Processing Graphical User Interface for Heat Flow Visualization
Olt, Lars
Flores, Luis Diego Fonseca
Mckinley, Ian
Software Engineering
Thermal Desktop (TD) is an industry-standard thermal analysis tool used to create and analyze thermal models for landers, rovers, spacecraft, and instrument payloads. Currently, limited software exists to extract and visualize metrics relevant to heat flow within TD, impeding thermal engineers from analyzing their results quickly. This paper discusses a graphical user interface (GUI) built in MATLAB and C++ which uses TDs application programming interface (API), OpenTD, and a custom parser to address this void. Specifically, we present a method for efficiently loading temperature, conductance, and submodel metrics using a side effect of TDs Compressed Solution Results (CSR) files. This approach can reduce the runtime for correlating model nodes and conductors with submodel IDs by orders of magnitude. Lastly, we reflect on the shortcomings of this method for reading data, consider the future of the GUI, and provide recommendations for subsequent OpenTD releases.
title Post Processing Graphical User Interface for Heat Flow Visualization
topic Software Engineering
url https://arxiv.org/abs/2511.07709