IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i18p3802-d1233095.html
   My bibliography  Save this article

Automatic Piston-Type Flow Standard Device Calibration System

Author

Listed:
  • Xinming Song

    (School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264200, China)

  • Xiaoli Wang

    (School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264200, China)

  • Min Ma

    (School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264200, China)

Abstract

Measurement of flow is crucial for assuring product quality, increasing manufacturing effectiveness, and promoting the development of science and technology. With the advancement of calibration and automation, standard devices using the mass method, volumetric method, and master meter method have limitations, such as low calibration efficiency and automation, large size, and complex operation. Innovations in this area are desperately needed. To realize the automation of calibrating ultrasonic water meters, a piston-type flow standard device calibration system with a high degree of automation, high calibration efficiency, small size, and easy operation was designed. A piston-type flow standard device was designed, the standard device was modeled, the selection of the main hardware and the design of the automated control of the hardware parts were completed; an automation control system adapted to the flow standard device was developed; and, furthermore, a water meter flow point calibration algorithm integrating the start–stop method and the dual-time method, as well as a water meter flow correction algorithm, was devised to improve the efficiency of ultrasonic water meter calibration. An uncertainty assessment of the designed system was completed; the standard uncertainty and expanded uncertainty of the device were 0.013% and 0.026%. Meanwhile, flow calibration tests were conducted, validating the rationality of the automated calibration algorithm for ultrasonic water meters. The results show that ultrasonic water meters calibrated with flow correction have a flow error within ±3% in the “low flow range” and within ±2% in the “high flow range”, with a repeatability of less than 0.05%. This indicates that a piston-type flow standard device, coupled with an automation calibration control system, can efficiently, accurately, and conveniently perform water meter calibration, and the system has good practical value.

Suggested Citation

  • Xinming Song & Xiaoli Wang & Min Ma, 2023. "Automatic Piston-Type Flow Standard Device Calibration System," Mathematics, MDPI, vol. 11(18), pages 1-19, September.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:18:p:3802-:d:1233095
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/18/3802/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/18/3802/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hanna Mela & Juha Peltomaa & Marja Salo & Kirsi Mäkinen & Mikael Hildén, 2018. "Framing Smart Meter Feedback in Relation to Practice Theory," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    2. Jimiao Duan & Huishu Liu & Jiali Tao & Ting’ao Shen & Weixing Hua & Jinfa Guan, 2022. "Experimental Study on Gas–Liquid Interface Evolution during Liquid Displaced by Gas of Mobile Pipeline," Energies, MDPI, vol. 15(7), pages 1-16, March.
    Full references (including those not matched with items on IDEAS)

    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. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Paolo Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    2. Chamaret, Cécile & Steyer, Véronique & Mayer, Julie C., 2020. "“Hands off my meter!” when municipalities resist smart meters: Linking arguments and degrees of resistance," Energy Policy, Elsevier, vol. 144(C).
    3. Guojun Yu & Huihao Liu & Huijin Xu, 2023. "New Advancements in Heat and Mass Transfer: Fundamentals and Applications," Energies, MDPI, vol. 16(7), pages 1-4, March.
    4. Giuseppe Salvia & Eugenio Morello & Federica Rotondo & Andrea Sangalli & Francesco Causone & Silvia Erba & Lorenzo Pagliano, 2020. "Performance Gap and Occupant Behavior in Building Retrofit: Focus on Dynamics of Change and Continuity in the Practice of Indoor Heating," Sustainability, MDPI, vol. 12(14), pages 1-25, July.
    5. Fouad El Gohary & Sofie Nyström & Lizette Reitsma & Cajsa Bartusch, 2021. "Identifying Challenges in Engaging Users to Increase Self-Consumption of Electricity in Microgrids," Energies, MDPI, vol. 14(5), pages 1-27, February.

    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:jmathe:v:11:y:2023:i:18:p:3802-:d:1233095. 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.