@inproceedings{855ea39ef2af4b38a76353c65d1b3311,
title = "Genetic algorithm design of a 3D printed heat sink",
abstract = "In this paper, a genetic algorithm- (GA-) based approach is discussed for designing heat sinks based on total heat generation and dissipation for a pre-specified size and shape. This approach combines random iteration processes and genetic algorithms with finite element analysis (FEA) to design the optimized heat sink. With an approach that prefers survival of the fittest, a more powerful heat sink can be designed which can cool power electronics more efficiently. Some of the resulting designs can only be 3D printed due to their complexity. In addition to describing the methodology, this paper also includes comparisons of different cases to evaluate the performance of the newly designed heat sink compared to commercially available heat sinks.",
keywords = "3D Printing, Cold Plate, Genetic Algorithm, Liquid Cooled Heat sink, Thermal management",
author = "Tong Wu and Burak Ozpineci and Curtis Ayers",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 31st Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2016 ; Conference date: 20-03-2016 Through 24-03-2016",
year = "2016",
month = may,
day = "10",
doi = "10.1109/APEC.2016.7468376",
language = "English",
series = "Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3529--3536",
booktitle = "2016 IEEE Applied Power Electronics Conference and Exposition, APEC 2016",
}