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Research on Performance of Variable-Lead Rotor Twin Screw Compressor

Author

Listed:
  • Huagen Wu

    (Institute of Compressors, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Jiankang Liu

    (Institute of Compressors, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Yuqi Shen

    (Institute of Compressors, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Mengtao Liang

    (Institute of Compressors, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Beiyu Zhang

    (Institute of Compressors, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

Twin-screw compressors are widely used in aerodynamics, refrigeration and other fields. The screw rotors are the core component of the screw compressor and affect the performance of the compressor. This paper focuses on variable-lead rotors. A thermal process simulation model considering leakage is established to calculate the efficiency of the compressor. Different lead change methods are compared by evaluating the contact line, exhaust port and simulation results. The results show that the compressor obtains better performance when the lead decreases rapidly on the discharge side. Furthermore, the effects of the wrap angle and internal volume ratio on variable-lead rotors are studied. The work provides a reference for the design of the screw compressor rotor.

Suggested Citation

  • Huagen Wu & Jiankang Liu & Yuqi Shen & Mengtao Liang & Beiyu Zhang, 2021. "Research on Performance of Variable-Lead Rotor Twin Screw Compressor," Energies, MDPI, vol. 14(21), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6970-:d:663445
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    Cited by:

    1. Tao Wang & Qiang Qi & Wei Zhang & Dengyi Zhan, 2023. "Research on Optimization of Profile Parameters in Screw Compressor Based on BP Neural Network and Genetic Algorithm," Energies, MDPI, vol. 16(9), pages 1-17, April.

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