IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v57y2019i14p4451-4467.html
   My bibliography  Save this article

Energy modelling and energy saving strategy analysis of a machine tool during non-cutting status

Author

Listed:
  • Xiaona Luan
  • Song Zhang
  • Jie Chen
  • Gang Li

Abstract

Increasing energy cost and environmental problems push forward research on energy modelling and saving strategy in the sustainable manufacturing field. A manufacturing process usually includes cutting process and non-cutting status. Energy consumption of non-cutting status accounts for a large amount of the total energy consumption during a machining process. This paper focuses on the energy modelling and saving potential analysis in non-cutting status. First, power of non-cutting status was modelled, which included the fixed power, spindle idle power, feed motion power and rapid feed power. Secondly, milling experiments were conducted to study the characteristic and modelling method of the non-cutting status power. The experiments were divided into two types, some experiments were used to calculate the coefficients, and the others were applied to verify the proposed model. Finally, regression analysis and Analysis of Variance (ANOVA) were applied to illustrate the prediction accuracy of the proposed model. The energy saving strategy was developed for the non-cutting status, which includes shortening the air cutting time and not frequently changing the spindle speed to avoid a power peak. It indicates that the proposed model can predict the power consumption of non-cutting status accurately.

Suggested Citation

  • Xiaona Luan & Song Zhang & Jie Chen & Gang Li, 2019. "Energy modelling and energy saving strategy analysis of a machine tool during non-cutting status," International Journal of Production Research, Taylor & Francis Journals, vol. 57(14), pages 4451-4467, July.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:14:p:4451-4467
    DOI: 10.1080/00207543.2018.1436787
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2018.1436787
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2018.1436787?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Nailiang Li & Caihong Feng, 2021. "Research on Machining Workshop Batch Scheduling Incorporating the Completion Time and Non-Processing Energy Consumption Considering Product Structure," Energies, MDPI, vol. 14(19), pages 1-26, September.
    2. Zhang, Yuanhui & Cai, Wei & He, Yan & Peng, Tao & Jia, Shun & Lai, Kee-hung & Li, Li, 2022. "Forward-and-reverse multidirectional turning: A novel material removal approach for improving energy efficiency, processing efficiency and quality," Energy, Elsevier, vol. 260(C).
    3. Bin Chen & Wenying Xie & Fuyou Huang & Xinyang Li, 2020. "Energy-saving and pricing decisions in a sustainable supply chain considering behavioral concerns," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-20, August.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:57:y:2019:i:14:p:4451-4467. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.