Quantitative evaluation of a free piston Stirling cooler performance based on a dimensionless analysis method and experimental results

Free piston Stirling cooler (FPSC), which operates on the reversed-Stirling cycle, is characterized by high efficiency, long lifespan, and compact structure. This study employs a dimensionless analysis method to quantitatively evaluate FPSC performance across various scales, focusing on the effects of key parameters on the coefficient of performance (COP), entropy generation, and response time. Comparison between experimental and simulation results indicates that the piston displacement error is below 5%, while the cold-end temperature deviation is limited to 1.39%. Results indicate that doubling the dimensionless mover mass decreases the COP by 23.08%. Conversely, doubling the cylinder diameter-to-stroke ratio increases the COP by approximately 95.00% and reduces dimensionless entropy generation by 66.69%. Increasing the dimensionless leaf spring stiffness to 2.5 times its initial value decreases the COP of 10.77%. A 37.5% increase in the dimensionless damping coefficient decreases the COP by 25.81% and reduces dimensionless entropy generation by 23.96%. When the dimensionless cooling target temperature increases by approximately 66.7%, the COP improves, the required dimensionless input energy decreases by 84.21%, and the dimensionless response time shortens by 83.22%, although the rate of reduction gradually slows. These findings provide valuable theoretical guidance for optimizing FPSC performance and guiding the selection of critical design parameters.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-11-28
DOI
https://doi.org/10.1016/j.csite.2025.107478
Primary Topic
Advanced Thermodynamic Systems and Engines
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative evaluation of a free piston Stirling cooler performance based on a dimensionless analysis method and experimental results

Yuhang Bai, Huihua Feng, Chengyuan Guo, Liang Tong
Case Studies in Thermal Engineering
Advanced Thermodynamic Systems and Engines
article

Quantitative evaluation of a free piston Stirling cooler performance based on a dimensionless analysis method and experimental results

Yuhang Bai, Huihua Feng, Chengyuan Guo, Liang Tong
article en

Abstract

Free piston Stirling cooler (FPSC), which operates on the reversed-Stirling cycle, is characterized by high efficiency, long lifespan, and compact structure. This study employs a dimensionless analysis method to quantitatively evaluate FPSC performance across various scales, focusing on the effects of key parameters on the coefficient of performance (COP), entropy generation, and response time. Comparison between experimental and simulation results indicates that the piston displacement error is below 5%, while the cold-end temperature deviation is limited to 1.39%. Results indicate that doubling the dimensionless mover mass decreases the COP by 23.08%. Conversely, doubling the cylinder diameter-to-stroke ratio increases the COP by approximately 95.00% and reduces dimensionless entropy generation by 66.69%. Increasing the dimensionless leaf spring stiffness to 2.5 times its initial value decreases the COP of 10.77%. A 37.5% increase in the dimensionless damping coefficient decreases the COP by 25.81% and reduces dimensionless entropy generation by 23.96%. When the dimensionless cooling target temperature increases by approximately 66.7%, the COP improves, the required dimensionless input energy decreases by 84.21%, and the dimensionless response time shortens by 83.22%, although the rate of reduction gradually slows. These findings provide valuable theoretical guidance for optimizing FPSC performance and guiding the selection of critical design parameters.

Case Studies in Thermal EngineeringVol. 77
Beijing Institute of Technology (CN), China Academy of Launch Vehicle Technology (CN), Beijing Information Science & Technology University (CN)
Openalex Percentile: Top 61%
Advanced Thermodynamic Systems and Engines
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.