IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i15p4030-d394352.html
   My bibliography  Save this article

Modelling and Measurement of a Moving Magnet Linear Motor for Linear Compressor

Author

Listed:
  • Xinwen Chen

    (Department of Mechanical Engineering, Yangzhou University, Yangzhou 225012, China)

  • Hanying Jiang

    (Department of Engineering and Design, University of Sussex, Brighton BN1 9QT, UK)

  • Zhaohua Li

    (Department of Engineering and Design, University of Sussex, Brighton BN1 9QT, UK)

  • Kun Liang

    (Department of Mechanical Engineering, Yangzhou University, Yangzhou 225012, China
    Department of Engineering and Design, University of Sussex, Brighton BN1 9QT, UK)

Abstract

For the purpose of efficiency improvement, a linear motor that performs a linear reciprocating motion can be employed to directly drive the piston in a reciprocating refrigeration compressor without crankshaft mechanism. This also facilitates the modulation of cooling capacity as the stroke and frequency can be readily varied in response to heat load. A novel design of moving magnet linear motor for linear compressor was analyzed in the paper. A finite element analysis (FEA) model was built to simulate the characteristics of the linear motor. Current and displacement signals were measured from a test rig and were defined in the transient FEA model. Transient motor force was simulated with the FEA model and good agreements are shown between the results from the FEA model and interpolated shaft force from static force measurements. Major Losses, such as copper loss and core loss were also computed. Motor efficiency decreased from 0.88 to 0.83 as stroke increased from 9 mm to 12 mm, while the pressure ratio remained unchanged. Comparisons were made between the present moving magnet linear motor and moving coil linear motors. Generally, the moving magnet linear motor demonstrates higher efficiency than moving coil motors, which have significantly higher copper loss. The present moving magnet design with simple structure could be further optimized to improve motor efficiency.

Suggested Citation

  • Xinwen Chen & Hanying Jiang & Zhaohua Li & Kun Liang, 2020. "Modelling and Measurement of a Moving Magnet Linear Motor for Linear Compressor," Energies, MDPI, vol. 13(15), pages 1-12, August.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:4030-:d:394352
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/15/4030/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/15/4030/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tiegna, Huguette & Amara, Yacine & Barakat, Georges, 2013. "Overview of analytical models of permanent magnet electrical machines for analysis and design purposes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 90(C), pages 162-177.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fei Zhao & Yunshuai Jiang & Kuang Yang & Chengming Zhang & Wei Lian & Guangyin Wang, 2021. "Comparison Study on High Force Density Linear Motors for Compressor Application," Energies, MDPI, vol. 14(21), pages 1-10, November.
    2. Aftab Ahmad & Basharat Ullah & Zahoor Ahmad & Guangchen Liu & Muhammad Jawad, 2022. "Performance Analysis of Tubular Moving Magnet Linear Oscillating Actuator for Linear Compressors," Energies, MDPI, vol. 15(9), pages 1-19, April.
    3. Zahoor Ahmad & Basharat Ullah & Faisal Khan & Shafaat Ullah & Irfan Sami, 2023. "Electromagnetic Performance Investigation of Rectangular-Structured Linear Actuator with End Ferromagnetic Poles," Energies, MDPI, vol. 16(15), pages 1-17, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Popoli, Arturo & Cristofolini, Andrea & Sandrolini, Leonardo, 2021. "A numerical model for the calculation of electromagnetic interference from power lines on nonparallel underground pipelines," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 221-233.
    2. Ouagued, Sofiane & Amara, Yacine & Barakat, Georges, 2016. "Comparison of hybrid analytical modelling and reluctance network modelling for pre-design purposes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 130(C), pages 3-21.
    3. Malé, Gael & Lubin, Thierry & Mezani, Smail & Lévêque, Jean, 2013. "Analytical calculation of the flux density distribution in a superconducting reluctance machine with HTS bulks rotor," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 90(C), pages 230-243.
    4. Yerai Moreno & Gaizka Almandoz & Aritz Egea & Patxi Madina & Ana Julia Escalada, 2020. "Multi-Physics Tool for Electrical Machine Sizing," Energies, MDPI, vol. 13(7), pages 1-18, April.
    5. Sergeant, Peter & Vansompel, Hendrik & Dupré, Luc, 2016. "Influence of stator slot openings on losses and torque in axial flux permanent magnet machines," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 130(C), pages 22-31.
    6. Sprangers, R.L.J. & Paulides, J.J.H. & Gysen, B.L.J. & Lomonova, E.A., 2017. "A fast semi-analytical model for the slotted structure of induction motors," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 316-327.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:4030-:d:394352. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.