Santhanakrishnan, Mani Sekaran, Tilford, Timothy ORCID: https://orcid.org/0000-0001-8307-6403 and Bailey, Christopher ORCID: https://orcid.org/0000-0002-9438-3879 (2018) Performance assessment of density and level-set topology optimisation methods for 3D heatsink design. Journal of Algorithms and Computational Technology, 12 (3). pp. 273-287. ISSN 1748-3018 (Print), 1748-3026 (Online) (doi:10.1177/1748301818779019)

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Abstract

In this paper, two most prevalent topological optimisation approaches namely Density and Level set method are applied to a three dimensional heatsink design problem. The relative performance of the two approaches are compared in terms of design quality, robustness and computational speed. The work is original as for the first time it demonstrates the relative advantages and disadvantages for each method when applied to a practical engineering problem. It is additionally novel in that it presents the design of a convectively cooled heatsink by solving full thermo-fluid equations for two different solid-fluid material sets. Further, results are validated using a separate CFD study with the optimised designs are compared against a standard pin-fin based heatsink design. The results show that the Density method demonstrates better performance in terms of robustness and computational speed, while Level-set method yields a better quality design.

Item Type:	Article
Additional Information:	This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Uncontrolled Keywords:	Topology; optimisation; engineering design
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Mechanics & Reliability Group (CMRG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/20180

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