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ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
Optimization of Hydrofoil by Genetic Algorithm
Submission Author:
Vinícius Gomes Pereira Siston , RJ
Co-Authors:
Vinícius Gomes Pereira Siston, Guilherme Amaral do Prado Campos, João Victor Barros dos Santos, Luciano Santos Constantin Raptopoulos, Max Suell Dutra
Presenter: Vinícius Gomes Pereira Siston
doi://10.26678/ABCM.ENCIT2020.CIT20-0758
Abstract
More evident local or global environmental problems increase the demand for renewable energy sources,such as ocean currents. In this paper, the shape of an oscillating hydrofoil is optimized to make the energy generatingdevice more efficient, increasing the lift coefficient and lift-to-drag ratio, and to preventing cavitation. Multi-objectiveoptimization is done through the agglutination technique and using a different application of the Genetic Algorithm (GA),where different percentages of the leading and trailing edges of a set of NACA profiles are combined for the crossoverphase. The proposed optimization method proved to be effective for the case of the lift coefficient.
Keywords
Optimization, genetic algorithm, flapping foil
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