Performance evaluation of gamma-type Stirling engine using combined Schmidt and mechanical loss model
Suliman Alfarawi 1 * , Raya AL-Dadah 2 , Saad Mahmoud 2
More Detail
1 Department of Mechanical Engineering, University of Benghazi, Benghazi, LIBYA2 Department of Mechanical Engineering, University of Birmingham, Birmingham, UK* Corresponding Author

Abstract

This paper focuses on the study of gamma-type Stirling engine prototype using a combined Schmidt closed-form and mechanical loss analysis. Not restricted to optimizing the indicated power as classic Schmidt theory is set to, this analysis allows to maximize the shaft power due to the mechanical loss in power transmission. For this purpose, MATLAB code was developed to calculate the indicated and the shaft powers of the engine at different operating parameters. The results showed that shaft power peaks at swept volume ratios smaller than those of indicated power at different values of mechanism effectiveness. Within the range of engine mechanism effectiveness typically between 0.7 and 0.9, it was found that maximum shaft power for this particular engine can be achieved at different optimum values of swept volume ratio between 0.75 and 0.95 and phase angle between 80° and 90°. However, an optimum swept volume ratio was found to be k=0.55 of the same engine size for different scenarios of operation. Also, the developed model can be used as a design tool in the preliminary stage to find the optimum geometry of the engine. The new engine design parameters including the stroke, the crank radius and power piston bore, and engine alteration were presented.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EUR J SUSTAIN DEV RES, Volume 8, Issue 1, 2024, Article No: em0240

https://doi.org/10.29333/ejosdr/13888

Publication date: 01 Jan 2024

Online publication date: 10 Nov 2023

Article Views: 1010

Article Downloads: 895

Open Access References How to cite this article