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Optimization and Simulation of Key Parameters of Gas - Type Stirling Engine Burner

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Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 691))

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Abstract

This paper proposed a structural design scheme of a gas-type Stirling engine burner. According to the characteristics of Stirling engine heating, the more stable the hot side output temperature is, the better Stirling engine is. In order to ensure the feasibility of the design, a model of flat flame burner is established, carried out simulations by FLUENT software, the temperature field of different cross-section is obtained. On this basis, the model of annular burner is established and simulated on the temperature field. Changed the number and location of the gas inlet. The temperature field simulation is carried out under this condition, and the burner structure can be realized to achieve uniform heating. The simulation results show that the theoretical value of temperature uniformity on the hot side of the Stirling engine can reach up to 93%, which can meet the heating requirements of Stirling engine.

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Funding

The department of project in Shanxi province (NO. 2016GY-175).

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Authors and Affiliations

  1. School of Mechanical and Electrical Engineering, Xi’an Technological University, Xi’an, 710021, China

    Wang Qin, Chen Hua, Tian Junwei, Jiang Zhiyi & He Xiping

Authors
  1. Wang Qin
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  2. Chen Hua
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  3. Tian Junwei
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  4. Jiang Zhiyi
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  5. He Xiping
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Corresponding author

Correspondence to Wang Qin .

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Editors and Affiliations

  1. Shenyang Jianzhu University , Shenyang, China

    Feng Qiao

  2. SOA University , Bhubaneswar, India

    Srikanta Patnaik

  3. Montclair State University , Montclair, New Jersey, USA

    John Wang

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Cite this paper

Qin, W., Hua, C., Junwei, T., Zhiyi, J., Xiping, H. (2018). Optimization and Simulation of Key Parameters of Gas - Type Stirling Engine Burner. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-319-70990-1_54

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  • DOI: https://doi.org/10.1007/978-3-319-70990-1_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70989-5

  • Online ISBN: 978-3-319-70990-1

  • eBook Packages: EngineeringEngineering (R0)

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