Predictive Modeling of Textile Heat Sinks for Enhanced Thermal Management in Space and Military Applications

Michal Frydrysiak () and Piotr Kosobudzki
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Michal Frydrysiak: Faculty of Material Technology and Textile Design, Textile Institute, Lodz University of Technology, Żeromskiego 116 St., 90-543 Lodz, Poland
Piotr Kosobudzki: Faculty of Mechanical Engineering, Institute of Materials Engineering, Lodz University of Technology, Stefanowskiego 1/15 St., 90-537 Lodz, Poland

Energies, 2025, vol. 18, issue 7, 1-13

Abstract: This paper presents the research and numerical modeling of heat flow through a textile heat sink (THS). The aim of this research is to create a numerical model of a THS that not only simulates the thermal behavior of knitted fabrics, which are used to construct a THS, but also serves as a predictive tool for the heat flow coming from different devices, thus increasing thermal management safety. By integrating modeling tools with textile engineering, this study contributes valuable insights to the development of effective passive cooling solutions for textronics applications, e.g., in thermal management in the military or air space sectors. THS is a support tool for multilayer insulation (MLI) blankets in space satellites, used to maintain the insulation performance of MLI to retain the extremely low temperature of satellite sensors or fuel tanks. The textile radiator made of spacer knitted 3D fabric consists of monofilament yarns covered with aluminum. THS samples were made on the HD 6/20-65 EL machine of Karl Mayer, with the calibration number E12. Numerical modeling was performed using ANSYS software. The numerical simulations of the temperature gradient presented the heat flow for source temperatures of 50 °C and 70 °C for different values of air velocity.

Keywords: textile materials; passive elastic radiators; passive cooling; thermal management; safety (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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