A numerical study of the influence of design variable interactions on the performance of a Stirling engine System

•A new method to determine the degree of interaction of system variables is proposed.•17 critical interactions were found for the optimized design of a Stirling engine.•The cylinder and cooler variables present the most significant interactions.•Piston stroke affects the performance of 60% of the va...

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Bibliographic Details
Published in:Applied thermal engineering 2020-04, Vol.170, p.115039, Article 115039
Main Authors: Islas, Saúl, Beltran-Chacon, Ricardo, Velázquez, Nicolás, Leal-Chávez, Daniel, López-Zavala, R., Aguilar-Jiménez, J.A.
Format: Article
Language:English
Subjects:
Critical path
Design optimization
Design variable interaction
Diesel engines
Engines
Heat transfer
Mass flow rate
Optimization
Piston rings
Qualitative analysis
Second order model
Stirling engine
Stirling engines
Systems design
Thermodynamics
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Summary:•A new method to determine the degree of interaction of system variables is proposed.•17 critical interactions were found for the optimized design of a Stirling engine.•The cylinder and cooler variables present the most significant interactions.•Piston stroke affects the performance of 60% of the variables studied.•Phase angle
ISSN:1359-4311
1873-5606
DOI:10.1016/j.applthermaleng.2020.115039