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COBEM 2019
25th International Congress of Mechanical Engineering
OPTIMISATION OF A BETA-TYPE STIRLING ENGINE DISPLACER PISTON USING HYBRID ALGORITHM
Submission Author:
Bryan Castro Caetano , MG
Co-Authors:
Bryan Castro Caetano, José Arthur Gonçalves da Silva Teixeira, Matheus Ungaretti Borges, Oscar Ricardo Sandoval Rodriguez, Rudolf Huebner, Ricardo Poley Martins Ferreira
Presenter: José Arthur Gonçalves da Silva Teixeira
doi://10.26678/ABCM.COBEM2019.COB2019-0672
Abstract
This work aims to optimise the dimensions involving the displacer piston of a Beta-type Stirling engine using optimisation algorithms. A hybrid algorithm associated with the first-order Schmidt model was used to verify the influence of geometric parameters on the engine power. Because it is a first-order model, the Schmidt model makes some simplifications that make it difficult to study parameters such as the gap between the displacing piston and the cylinder. In this way, some considerations are made in such a way that it is possible to calculate the boundary conditions in a more precise way, as for example considering the choke effect when submitted to supersonic flows. The Schmidt model is implanted in a hybrid algorithm that combines genetic algorithm theory and sequential quadratic programming. It was possible to find the best values for the diameter, stroke and length of the displacer piston. Finally, a validation was performed with experimental values measured in a dynamometric bench, allowing to evaluate the results obtained by the optimisation.
Keywords
Stirling engine, Schmidt model, hybrid algorithm, Beta Type, Algorithm optimisation
