Enhancing gamma stirling engine performance through genetic algorithm technique

Asary, Abdul Rab and Abdul, Basit and Samad, Abdul and Shibly, Mohammad Abul Hasan (2023) Enhancing gamma stirling engine performance through genetic algorithm technique. Engineering Proceedings, 56 (1). ISSN 2673-4591

Full text not available from this repository. (Request a copy)


The Stirling engine, invented in 1816, was initially lacking comprehensive scientific under-standing, which only surfaced after a considerable 50-year period. In the present era, impressive strides have been made in enhancing the performance of Stirling engines by implementing thermodynamic cycles. Despite these advancements, there remains untapped potential for further improvements by applying soft computing methods. To address this, the focal point of this research paper centres around optimizing the Stirling engine, specifically focusing on a gamma-type double-piston Stirling engine and leveraging genetic algorithms to achieve the desired enhancements. The results from this analysis are meticulously compared with experimental data, validating the approach’s efficacy. Additionally, this paper explores the potential impact of utilizing cryogenic fluids as coolants on the Stirling engine’s performance.
Item Type: Article
Uncontrolled Keywords: efficiency; genetic algorithm; power; Stirling engine; thermodynamics
Divisions: Sabancı University Nanotechnology Research and Application Center
Depositing User: IC-Cataloging
Date Deposited: 08 Apr 2024 16:09
Last Modified: 08 Apr 2024 16:09
URI: https://research.sabanciuniv.edu/id/eprint/48985

Actions (login required)

View Item
View Item