Post Processing Graphical User Interface for Heat Flow Visualization

TL;DR

This paper introduces a MATLAB and C++ GUI that leverages TD's API and custom parsing to efficiently visualize heat flow metrics, significantly improving analysis speed for thermal engineers.

Contribution

A novel GUI tool that uses TD's API and custom parsing to enhance heat flow data visualization and reduce analysis time in thermal modeling.

Findings

Reduces runtime for correlating model data by orders of magnitude.

Enables efficient loading of temperature, conductance, and submodel metrics.

Provides insights into future improvements for the GUI and OpenTD.

Abstract

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.