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Development of a beta-type Stirling engine with rhombic-drive mechanism using a modified non-ideal adiabatic model

Author

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  • Yang, Hang-Suin
  • Cheng, Chin-Hsiang

Abstract

The aim of this study is to develop an efficient theoretical model that can more accurately predict the performance of the designed engine. The developed model is practically further applied in the development of a 500-W engine. The theoretical model is built by modifying the existing non-ideal adiabatic analysis to more accurately predict performance the designed engine. In this model, pressure drops in the heater, the regenerator and the cooler caused by fluid friction, channel sudden expansion and sudden contraction are taken into consideration. Furthermore, an empirical formula for the mechanical loss as a function of rotation speed of the engine is obtained by experiments and introduced into the model. The shaft power, indicated power, and thermal efficiency of the engine are determined. Furthermore, a prototype engine is then built and tested to validate the model. Experimental measurements on the power output are conducted in this study. It is found that maximum shaft power of the prototype engine can reach 556W at rotation speed of 1665rpm and at a heating temperature of 1100K.

Suggested Citation

  • Yang, Hang-Suin & Cheng, Chin-Hsiang, 2017. "Development of a beta-type Stirling engine with rhombic-drive mechanism using a modified non-ideal adiabatic model," Applied Energy, Elsevier, vol. 200(C), pages 62-72.
    • Handle: RePEc:eee:appene:v:200:y:2017:i:c:p:62-72
    DOI: 10.1016/j.apenergy.2017.05.075
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    Citations

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    Cited by:

    1. Jiang, Han & Xi, Zhongli & A. Rahman, Anas & Zhang, Xiaoqing, 2020. "Prediction of output power with artificial neural network using extended datasets for Stirling engines," Applied Energy, Elsevier, vol. 271(C).
    2. Solmaz, Hamit & Safieddin Ardebili, Seyed Mohammad & Aksoy, Fatih & Calam, Alper & Yılmaz, Emre & Arslan, Muhammed, 2020. "Optimization of the operating conditions of a beta-type rhombic drive stirling engine by using response surface method," Energy, Elsevier, vol. 198(C).
    3. Kumaravelu, Thavamalar & Saadon, Syamimi & Abu Talib, Abd Rahim, 2022. "Heat transfer enhancement of a Stirling engine by using fins attachment in an energy recovery system," Energy, Elsevier, vol. 239(PA).
    4. Zare, Shahryar & Tavakolpour-saleh, A.R. & Aghahosseini, A. & Sangdani, M.H. & Mirshekari, Reza, 2021. "Design and optimization of Stirling engines using soft computing methods: A review," Applied Energy, Elsevier, vol. 283(C).
    5. Chin-Hsiang Cheng & Duc-Thuan Phung, 2021. "Numerical Optimization of the β-Type Stirling Engine Performance Using the Variable-Step Simplified Conjugate Gradient Method," Energies, MDPI, vol. 14(23), pages 1-14, November.
    6. Karabulut, Halit & Okur, Melih & Halis, Serdar & Altin, Murat, 2019. "Thermodynamic, dynamic and flow friction analysis of a Stirling engine with Scotch yoke piston driving mechanism," Energy, Elsevier, vol. 168(C), pages 169-181.
    7. İncili, Veysel & Karaca Dolgun, Gülşah & Keçebaş, Ali & Ural, Tolga, 2023. "Energy and exergy analyses of a coal-fired micro-CHP system coupled engine as a domestic solution," Energy, Elsevier, vol. 274(C).
    8. Erol, Derviş, 2024. "An experimental comparative study of the effects on the engine performance of using three different motion mechanisms in a beta-configuration Stirling engine," Energy, Elsevier, vol. 293(C).

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