IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/8843657.html
   My bibliography  Save this article

Layout Design of Stiffened Plates for Large-Scale Box Structure under Moving Loads Based on Topology Optimization

Author

Listed:
  • Zhaohua Wang
  • Chenglong Yang
  • Xiaopeng Xu
  • Dezhuang Song
  • Fenghe Wu

Abstract

As the main load-bearing structure of heavy machine tools, cranes, and other high-end equipment, the large-scale box structures usually bear moving loads, and the results of direct topology optimization usually have some problems: the load transfer skeleton is difficult to identify and all working conditions are difficult to consider comprehensively. In this paper, a layout design method of stiffened plates for the large-scale box structures under moving loads based on multiworking-condition topology optimization is proposed. Based on the equivalent principle of force, the box structures are simplified into the main bending functional section, main torsional functional section, and auxiliary functional section by the magnitude of loads and moments, which can reduce the structural dimension and complexity in topology optimization. Then, the moving loads are simplified to some multiple position loads, and the comprehensive evaluation function is constructed by the compromise programming method. The mathematical model of multiworking-condition topology optimization is established to optimize the functional sections. Taking a crossbeam of superheavy turning and milling machining center as an example, optimization results show that the stiffness and strength of the crossbeam are increased by 17.39% and 19.9%, respectively, while the weight is reduced by 12.57%. It shows that the method proposed in this paper has better practicability and effectiveness for large-scale box structures.

Suggested Citation

  • Zhaohua Wang & Chenglong Yang & Xiaopeng Xu & Dezhuang Song & Fenghe Wu, 2020. "Layout Design of Stiffened Plates for Large-Scale Box Structure under Moving Loads Based on Topology Optimization," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, November.
  • Handle: RePEc:hin:jnlmpe:8843657
    DOI: 10.1155/2020/8843657
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/8843657.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2020/8843657.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/8843657?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
    ---><---

    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:hin:jnlmpe:8843657. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.