Authors:

Yubo Song

Date Created:

Not specified

Course Title:

Professor:

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About Paper:

The ongoing quest for enhancing cooling efficiency in various industrial sectors fuels our research, as we delve into the flow dynamics of two unique cooling methodologies: Impingement Jet Cooling and Tesla Channel Cooling. The heart of our study lies in unveiling the operational mysteries of these systems, where the former employs high-velocity jets to cool heated surfaces, and the latter leverages the diodic flow properties of Tesla valves. We adopt a dual-pronged approach combining numerical modeling and experimental visualization to thoroughly dissect the fluid behaviors in these systems. Our methodology involves experiments using Particle Image Velocimetry for flow visualization of the water inside the jet cooler and ANSYS software simulations for a deeper interpretation of flow resistances and diodicity index in Tesla valves. These comprehensive tools help us unravel the complexities of the fluid dynamics associated with these cooling methods. Initial findings suggest a substantial difference in forward and reverse flow resistances of the Tesla valves, highlighted by a significant diodicity index. Visual representation of the pressure fields using ANSYS provides a clearer image of the dynamics at play. The forthcoming conclusion from our study is anticipated to enrich the current understanding of these cooling systems. By demonstrating the unique unidirectional flow characteristics of the Tesla valve and the potential efficiency of Impingement Jet Cooling, we aim to spur future research and development efforts in the realm of advanced cooling technologies.

Source:

Purdue University / 2023

Topics:

No topics listed

Co-authors:

Yubo Song