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Optimization of the operating conditions of a beta-type rhombic drive stirling engine by using response surface method

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  • Solmaz, Hamit
  • Safieddin Ardebili, Seyed Mohammad
  • Aksoy, Fatih
  • Calam, Alper
  • Yılmaz, Emre
  • Arslan, Muhammed

Abstract

The aim of this paper is to provide a multi-objective model to evaluate the effect of engine working parameters on the performance characteristics of a beta-type Stirling engine. The second objective of the study is to enhance the specific power of the engine, which was designed and manufactured in a previous study, via increasing the compression ratio. The selected independent variables were: charge pressure (2–9 bar), heating temperature (500–700 °C), and engine speed (550–750 rpm). The engine was analysed using the design of experiments based on the response surface method, and the most appropriate model was achieved. The desirability function approach was used to determine the optimum engine working condition. Optimal engine speed, charge pressure, charge pressure were 700 rpm, 8 bar, and 700 °C, respectively, with the desirability value of 0.86. At optimal engine working conditions, the amounts of the brake torque and brake power were found to be 11.95 Nm and 868.13 W, respectively. Optimized parameters are then compared and validated against the experimental data of the Stirling engine with an error of 4%. The specific power of the engine was found to be 1100 W/L which is 13% higher than the previous design.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:198:y:2020:i:c:s0360544220304849
    DOI: 10.1016/j.energy.2020.117377
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    4. 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).
    5. Yu, Minjie & Xu, Lei & Cui, Haichuan & Liu, Zhichun & Liu, Wei, 2024. "Characteristics and potential of a novel inclined-flow stirling regenerator constructed by sinusoidal corrugated channels," Energy, Elsevier, vol. 288(C).
    6. Babagiray, Mustafa & Kocakulak, Tolga & Safieddin Ardebili, Seyed Mohammad & Solmaz, Hamit & Çınar, Can & Uyumaz, Ahmet, 2022. "Experimental and statistical investigation of different valve lifts on HCCI combustion, performance and exhaust emissions using response surface method," Energy, Elsevier, vol. 244(PB).
    7. Safieddin Ardebili, Seyed Mohammad & Babagiray, Mustafa & Aytav, Emre & Can, Özer & Boroiu, Andrei-Alexandru, 2022. "Multi-objective optimization of DI diesel engine performance and emission parameters fueled with Jet-A1 – Diesel blends," Energy, Elsevier, vol. 242(C).
    8. Gharehghani, Ayat & Abbasi, Hamid Reza & Alizadeh, Pouria, 2021. "Application of machine learning tools for constrained multi-objective optimization of an HCCI engine," Energy, Elsevier, vol. 233(C).

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