@inproceedings{89b50f1e706b4098ba3ffc67c343c6cd,
title = "A Robust and Efficient Cooler Design Inspired by Leaf Venation",
abstract = "After years of evolution and natural selection, leaf venation yields to a complicated pattern to achieve better transfer efficiency together with higher structure robustness. In this paper, we use the design of a cooler as an example to explore the benefits of using such venation pattern. We first utilize a bio-inspired venation generation algorithm called space colonization to generate the venation patterns, which is used as the topology of a cooler system. Numerical simulations show that, the venation-inspired design is 10% more efficient than typical cooler in heat conduction, while is about twice more robust under physical damage. These results demonstrate that plants arrange their venation in a very efficient strategy, which can be a very promising source design for both efficiency and robustness considerations.",
keywords = "Bio-inspired, Cooler design, Leaf venation, Robustness",
author = "Houpu Yao and Rui Dai and Hamidreza Marvi",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 8th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2019 ; Conference date: 09-07-2019 Through 12-07-2019",
year = "2019",
doi = "10.1007/978-3-030-24741-6_25",
language = "English (US)",
isbn = "9783030247409",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "287--294",
editor = "Uriel Martinez-Hernandez and Vasiliki Vouloutsi and Anna Mura and Michael Mangan and Prescott, {Tony J.} and Minoru Asada and Verschure, {Paul F.M.J.}",
booktitle = "Biomimetic and Biohybrid Systems - 8th International Conference, Living Machines 2019, Proceedings",
}