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Knowing Thermo-Physical Properties For Space Manufacturing

AI, Machine Learning, and Robotics in Business journal image

Abstract

Future space manufacturing, thermal management, and life-support technologies depend on reliable thermophysical property data. Quantities such as viscosity, surface tension, thermal conductivity, and diffusion coefficients determine the dynamics of fluids, heat transport, and materials processing under extreme extraterrestrial conditions. Terrestrial methods are often compromised by gravity-driven effects, container interactions, and limited access to interfacial or high-temperature data. Microgravity environments provide an avenue to circumvent these obstacles by enabling container-less processing, interfacial studies, and precise transport measurements. Establishing robust data repositories is essential for predictive models, optimized algorithms, and integration with machine learning. The result will be reduced risk, improved efficiency, and rapid progress in both terrestrial and space-based manufacturing.

Keywords

Microgravity environments, optimized algorithms

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Author Biography

Ranga Narayanan

Dr. Ranga Narayanan is a Distinguished Professor and Distinguished Teacher–Scholar at the University of Florida. His research on pattern formation in fluids and interfaces connects scale competition to applications in space manufacturing, biomedical systems, semiconductors, and energy-efficient electronics. He has led an NSF research-training program that has influenced over 35 doctoral students and broadened global graduate education. He directed two microgravity experiments on the Space Shuttle and three on the ISS, including collaborations with JAXA. He has over 200 publications and four books, is Editor of npj Microgravity, and an Executive Editor of the Journal of Engineering Mathematics. Honors include the Humboldt Senior Award (2016) and Fulbright Distinguished Chair (2012). He is a Fellow of the ASGSR, APS, AAAS, and AIChE, and an Academician of the International Academy of Astronautics (2012).Â