LAPSE:2023.8846
Published Article
LAPSE:2023.8846
Modeling of Thermal-Lag Engine with Validation by Experimental Data
February 24, 2023
Abstract
Thermal-lag engines are external combustion engines with a single moving piston. This feature leads to lower manufacturing and maintenance costs than traditional Stirling engines. Although the original concept of thermal-lag engines was invented roughly 35 years ago, the information on thermal-lag engines is still limited. Therefore, this study focuses on thermal-lag engine performance by developing a three-dimensional computational fluid dynamics (CFD) model. The grid independence check and the time step independence check are firstly performed to select the number of elements and size of the time step for simulation. The CFD model is then validated by the experimental data, which were collected by measuring an existing prototype engine. It has been found that the CFD predictions are well fitted to the experimental data over the range of engine speed from 200 to 1600 rpm at temperatures of 1173 or 1273 K. Furthermore, the CFD model predicts that the maximum engine power is 21.1 W while the prototype engine practically generates the highest power of 22.35 W at 1000 rpm and 1273 K. Finally, a further parametric study shows that crank radius, piston diameter, working gas mass, working gas species, and heating temperature significantly affect engine power.
Keywords
CFD model, experimental comparison, thermal-lag engine
Suggested Citation
Cheng CH, Phung DT. Modeling of Thermal-Lag Engine with Validation by Experimental Data. (2023). LAPSE:2023.8846
Author Affiliations
Cheng CH: Department of Aeronautics and Astronautics, National Cheng Kung University, No.1, University Road, Tainan 70101, Taiwan [ORCID]
Phung DT: Department of Aeronautics and Astronautics, National Cheng Kung University, No.1, University Road, Tainan 70101, Taiwan [ORCID]
Journal Name
Energies
Volume
15
Issue
20
First Page
7688
Year
2022
Publication Date
2022-10-18
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15207688, Publication Type: Journal Article
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LAPSE:2023.8846
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https://doi.org/10.3390/en15207688
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