Numerical prediction of performance of a low-temperature-differential gamma-type Stirling engine

Chin-Hsiang Cheng, Quynh Trang Le, Jhen Syuan Huang

Research output: Contribution to journalArticle

Abstract

In this study, a numerical simulation model is used to analyze thermodynamic performance of a low temperature-differential gamma-type Stirling engine by adjusting some values of the operating and geometrical parameters around a designated baseline case. The influences of these operating and geometrical parameters on engine performance such as working fluid materials, the stroke of piston and displacer, charged pressure, the heating temperature, and so on, are concerned. A numerical simulation model is established based on turbulent flow assumption and the realizable k–ε model is employed to solve the flow and thermal fields in the engine. In regard to flow in regenerator, Darcy–Forchheimer model was used to depict dynamic behavior of working fluid. Besides, thermal equilibrium model was used for solving the energy equation. Finally, working fluid in the engine undergoes a wide range of pressure and temperature so the effects of temperature and pressure on the viscosity and thermal conductivity of the working fluid are required to include. Thermal conductivity of porous medium matrix is affected by wide range of temperature as well.

Original languageEnglish
Pages (from-to)1770-1785
Number of pages16
JournalNumerical Heat Transfer; Part A: Applications
Volume74
Issue number12
DOIs
Publication statusPublished - 2018 Dec 17

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Stirling engines
working fluids
Engine
Fluid
Prediction
engines
predictions
Thermal Conductivity
Fluids
Engines
Simulation Model
Thermal conductivity
Numerical Simulation
thermal conductivity
Temperature
Thermal Model
Thermal Equilibrium
Equilibrium Model
Stroke
Turbulent Flow

All Science Journal Classification (ASJC) codes

  • Numerical Analysis
  • Condensed Matter Physics

Cite this

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abstract = "In this study, a numerical simulation model is used to analyze thermodynamic performance of a low temperature-differential gamma-type Stirling engine by adjusting some values of the operating and geometrical parameters around a designated baseline case. The influences of these operating and geometrical parameters on engine performance such as working fluid materials, the stroke of piston and displacer, charged pressure, the heating temperature, and so on, are concerned. A numerical simulation model is established based on turbulent flow assumption and the realizable k–ε model is employed to solve the flow and thermal fields in the engine. In regard to flow in regenerator, Darcy–Forchheimer model was used to depict dynamic behavior of working fluid. Besides, thermal equilibrium model was used for solving the energy equation. Finally, working fluid in the engine undergoes a wide range of pressure and temperature so the effects of temperature and pressure on the viscosity and thermal conductivity of the working fluid are required to include. Thermal conductivity of porous medium matrix is affected by wide range of temperature as well.",
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Numerical prediction of performance of a low-temperature-differential gamma-type Stirling engine. / Cheng, Chin-Hsiang; Le, Quynh Trang; Huang, Jhen Syuan.

In: Numerical Heat Transfer; Part A: Applications, Vol. 74, No. 12, 17.12.2018, p. 1770-1785.

Research output: Contribution to journalArticle

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AB - In this study, a numerical simulation model is used to analyze thermodynamic performance of a low temperature-differential gamma-type Stirling engine by adjusting some values of the operating and geometrical parameters around a designated baseline case. The influences of these operating and geometrical parameters on engine performance such as working fluid materials, the stroke of piston and displacer, charged pressure, the heating temperature, and so on, are concerned. A numerical simulation model is established based on turbulent flow assumption and the realizable k–ε model is employed to solve the flow and thermal fields in the engine. In regard to flow in regenerator, Darcy–Forchheimer model was used to depict dynamic behavior of working fluid. Besides, thermal equilibrium model was used for solving the energy equation. Finally, working fluid in the engine undergoes a wide range of pressure and temperature so the effects of temperature and pressure on the viscosity and thermal conductivity of the working fluid are required to include. Thermal conductivity of porous medium matrix is affected by wide range of temperature as well.

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