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Target Force Curve Searching Method for Axial Electromagnetic Dynamic Balance of Scroll Compressor

Author

Listed:
  • Xiao Qu

    (School of Automation and Electrical Engineer, Zhejiang University of Science and Technology, Hangzhou 310023, China)

  • Yantao Shi

    (School of Automation and Electrical Engineer, Zhejiang University of Science and Technology, Hangzhou 310023, China)

  • Jiongjiong Cai

    (School of Automation and Electrical Engineer, Zhejiang University of Science and Technology, Hangzhou 310023, China)

Abstract

In order to explore the axial electromagnetic dynamic balance force curve of a scroll compressor under the action of thermal energy, radial clearance, mechanism friction, and other factors in actual working conditions, an axial force exploration method that can automatically approach sections is proposed in this paper. Considering the dynamic response ability of the electromagnetic balance system, an automatic optimization algorithm of the partition number was proposed to find the optimal partition number in order to achieve the optimal tracking effect. An experimental platform was built to test the effect of the segmented tracking method on calibrating the deviation between the theoretical axial force curve and the real curve. The results show that the curve construction method proposed in this paper has convergence. This method can automatically and accurately construct the axial balance force curve required by the electromagnetic dynamic balance. Through the automatic optimization algorithm, the standard error (RMSE) between the target curve and the theoretical curve was reduced from 290 to 22.6, and the number of partitions with the lowest standard error was 20. The results provide a useful reference for the accurate, automatic, and efficient exploration of the actual axial sealing force of the scroll compressor.

Suggested Citation

  • Xiao Qu & Yantao Shi & Jiongjiong Cai, 2022. "Target Force Curve Searching Method for Axial Electromagnetic Dynamic Balance of Scroll Compressor," Energies, MDPI, vol. 15(5), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1693-:d:757610
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    References listed on IDEAS

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    1. Jai Pyo Sung & Joon Hong Boo & Eui Guk Jung, 2020. "Transient Thermodynamic Modeling of a Scroll Compressor Using R22 Refrigerant," Energies, MDPI, vol. 13(15), pages 1-21, July.
    2. N. A. Fountas & R. Benhadj-Djilali & C. I. Stergiou & N. M. Vaxevanidis, 2019. "An integrated framework for optimizing sculptured surface CNC tool paths based on direct software object evaluation and viral intelligence," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1581-1599, April.
    3. Massimo Cardone & Bonaventura Gargiulo, 2020. "Numerical Simulation and Experimental Validation of an Oil Free Scroll Compressor," Energies, MDPI, vol. 13(22), pages 1-11, November.
    4. Giovanna Cavazzini & Francesco Giacomel & Alberto Benato & Francesco Nascimben & Guido Ardizzon, 2021. "Analysis of the Inner Fluid-Dynamics of Scroll Compressors and Comparison between CFD Numerical and Modelling Approaches," Energies, MDPI, vol. 14(4), pages 1-28, February.
    5. Rak, Józef & Pietrowicz, Sławomir, 2020. "Internal flow field and heat transfer investigation inside the working chamber of a scroll compressor," Energy, Elsevier, vol. 202(C).
    6. Tao Liu & Zaixin Wu, 2015. "Modeling of Top Scroll Profile Using Equidistant-Curve Approach for a Scroll Compressor," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-8, June.
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