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ANALYSIS OF THE DIFFERENTIAL-GROWTH METHOD'S POTENTIAL FOR DESIGNING COMPLEX HEAT-TRANSFERRING WALLS FOR COMPACT HEAT EXCHANGER

Published online by Cambridge University Press:  19 June 2023

Alexander Seidler*
Affiliation:
Technische Universität Dresden
Stefan Holtzhausen
Affiliation:
Technische Universität Dresden
Maximilian Sander
Affiliation:
Technische Universität Dresden
Kristin Paetzold-Byhain
Affiliation:
Technische Universität Dresden
*
Seidler, Alexander, Technische Universität Dresden, Germany, alexander.seidler@tu-dresden.de

Abstract

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Water scarcity and resource depletion can be expected during the climate crisis. Therefore, thermally loaded processes in particular, must be made more efficient in the future. Heat exchangers will play a key role in this optimization process. More efficient designs allow a greater heat flow to be removed from processes while mass flows remain constant. In this context, the heat-transferring wall of heat exchangers is a focus of current research on the design of heat exchangers. The aim is to increase the heat-transferring surface of the wall as much as possible and to keep the design space as compact as possible. Therefore, this study investigates the suitability of the differential-growth method for generating complex heat-transferring walls for heat exchangers using CFD-analysis. Firstly, a framework for generating the wall structures and a computational model for predicting the design influence of such structures for the thermal and fluid-dynamic behavior of the heat exchanger are presented. Thereby, the potential of such wall structures is analyzed in this study. Furthermore, the study identified weaknesses of such walls designed with the differential-growth method, which should be the focus of future investigations.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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