Rate My Professor Chirag Kharangate
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Always supportive and understanding.
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Creates a collaborative and inclusive space.
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About Chirag
Chirag Kharangate is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Case Western Reserve University’s Case School of Engineering. He directs the Two-Phase Flow and Thermal Management Lab. Kharangate earned his PhD in Mechanical Engineering from Purdue University in 2016, a Master of Science in Mechanical Engineering from Purdue University in 2011, and a B.Tech in Mechanical Engineering from the National Institute of Technology Allahabad in 2009. Following his doctoral studies, he served as a Postdoctoral Research Fellow at Stanford University from 2016 to 2018. He joined Case Western Reserve University as an Assistant Professor in 2018 and was promoted to Associate Professor with tenure in July 2025. His research centers on heat and mass transfer, energy systems, thermal management of electronics, and computational fluid dynamics in two-phase flows, with applications to electronics cooling, cryogenic systems, and high-power thermal management for naval and aerospace technologies.
Kharangate has garnered significant recognition for his contributions, including the 2024 Office of Naval Research Young Investigator Program Award, the 2024 ASME Electronic & Photonic Packaging Division Early Career Engineer Award, the 2023 ASME K-16 Outstanding Early Career in Thermal Management Award, and the 2023 Case School of Engineering Research Award. In September 2025, he was elected as an Associate Editor for the ASME Journal of Heat and Mass Transfer. His laboratory has secured grants from the National Science Foundation, Office of Naval Research, and NASA. Notable publications include “Consolidated model for predicting flow boiling critical heat flux in single-sided and double-sided heated rectangular channels” (International Journal of Heat and Mass Transfer, 2020), “Machine learning algorithms to predict flow condensation heat transfer coefficient in mini/micro-channel utilizing universal data” (International Journal of Heat and Mass Transfer, 2020), “A new mechanistic model for predicting flow boiling critical heat flux based on hydrodynamic instabilities” (International Journal of Heat and Mass Transfer, 2019), and “Investigation of 3D manifold architecture heat sinks in air-cooled condensers” (Applied Thermal Engineering, 2020). His work advances predictive models for flow boiling and condensation, physics-informed machine learning for heat transfer, and efficient thermal solutions for demanding engineering challenges.
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