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University of Ontario Institute of Technology

Influence of sinusoidal motion on Stirling engines

Abstract

dc:description.abstract

Stirling engines have a high potential to produce renewable energy due to their ability to use a wide range of sustainable heat sources and their high theoretical efficiencies. They have not yet achieved widespread use and commercial Stirling engines have had reduced efficiencies compared to their ideal values. This work shows that a substantial\ amount of the reduction in efficiency is due to the operation of Stirling engines using sinusoidal motion and quantities this reduction. A discrete model was developed to perform an isothermal analysis of a 100cc alpha-type Stirling engine with a 90_ phase angle offset, to demonstrate the impact of sinusoidal motion on the net work and thermal efficiency in comparison to the ideal cycle. The model was adapted to analyze beta and gamma-type Stirling configurations, and the analysis revealed similar reductions due to sinusoidal motion. Lastly, a mechanically plausible arrangement is presented and analyzed to demonstrate that non-sinusoidal operation can be accomplished.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ranieri, Salvatore
Advisor dc:contributor.advisor
  • MacDonald, Brendan

Subjects

dc:subject × 4

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1000
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1000

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ranieri, Salvatore. Influence of sinusoidal motion on Stirling engines. University of Ontario Institute of Technology, 2018. https://hdl.handle.net/10155/1000