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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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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cited_by cdi_FETCH-LOGICAL-c358t-f509e85a3b822a03ddcdb22e4667e168f7559a94f95b810c076ea564e211d1e33
cites cdi_FETCH-LOGICAL-c358t-f509e85a3b822a03ddcdb22e4667e168f7559a94f95b810c076ea564e211d1e33
container_end_page
container_issue
container_start_page 115039
container_title Applied thermal engineering
container_volume 170
creator Islas, Saúl
Beltran-Chacon, Ricardo
Velázquez, Nicolás
Leal-Chávez, Daniel
López-Zavala, R.
Aguilar-Jiménez, J.A.
description •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
doi_str_mv 10.1016/j.applthermaleng.2020.115039
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This paper presents a study to determine the influence of design variable interactions on the performance of a Stirling engine, as well as a new methodology to identify and quantify such influence. An Alpha-type 2 kW Stirling engine was assessed using a second order model where the engine, heater, regenerator and cooler variables were simultaneously analyzed in pairs. The study includes 240 interactions corresponding to the 16 selected design variables. It was observed that the piston stroke and cylinder diameter variables have more significant interactions with the rest of the parameters due to their strong influence over mass flow. The piston crown length does not show significant interactions; however, it reduces individual thermal losses in the expansion zone. The cycle achieves its maximum net power at angles less than 90° due to pressure, heat losses, and the ratio between mass flow rates and swept volume. 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This paper presents a study to determine the influence of design variable interactions on the performance of a Stirling engine, as well as a new methodology to identify and quantify such influence. An Alpha-type 2 kW Stirling engine was assessed using a second order model where the engine, heater, regenerator and cooler variables were simultaneously analyzed in pairs. The study includes 240 interactions corresponding to the 16 selected design variables. It was observed that the piston stroke and cylinder diameter variables have more significant interactions with the rest of the parameters due to their strong influence over mass flow. The piston crown length does not show significant interactions; however, it reduces individual thermal losses in the expansion zone. The cycle achieves its maximum net power at angles less than 90° due to pressure, heat losses, and the ratio between mass flow rates and swept volume. 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source Elsevier:Jisc Collections:Elsevier Read and Publish Agreement 2022-2024:Freedom Collection (Reading list)
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
title A numerical study of the influence of design variable interactions on the performance of a Stirling engine System
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