IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/8580849.html
   My bibliography  Save this article

A Study of Compaction Densification Behavior of Composite Particles by Multiparticle Finite Element Method

Author

Listed:
  • Junnan Li
  • Peng Han
  • Yingshi Xu
  • Kun Liu
  • Guoxin Zhang
  • Peng Xu
  • AMA Neves

Abstract

In this paper, 3D particulate scale modelling on the die compaction of DEM generated initial packings of both soft and hard particles was conducted by employing the multiparticle finite element method (MPFEM). The effects of initial packing structures as well as the compaction pressure on the macroscopic and microscopic properties of the whole powder mass and local structures were investigated. In addition, corresponding physical experiments were carried out for model validation. The results show that the compact obtained from the initial dense packing under vibration undergoes yielding stage earlier than that with natural initial packing (without vibration), and the relative density is much higher. Pores that are significantly smaller and with more uniform size and homogenous stress distribution are observed in the former case. Highest stress regions occur in most cases at a grain boundary with large curvature after deformation. Moreover, the high stress in the central part of both soft and hard particles during compaction is significantly reduced after pressure unloading, reaching a new force balance. In this case, the stress is concentrated mainly at the corners of the deformed particles, which creates the risk of cracking during subsequent sintering at either the contact region between particles or the corners. The numerical results are found to be in good agreement with those from physical experiments, confirming the robustness and reliability of the numerical model used in the simulations.

Suggested Citation

  • Junnan Li & Peng Han & Yingshi Xu & Kun Liu & Guoxin Zhang & Peng Xu & AMA Neves, 2022. "A Study of Compaction Densification Behavior of Composite Particles by Multiparticle Finite Element Method," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, February.
  • Handle: RePEc:hin:jnlmpe:8580849
    DOI: 10.1155/2022/8580849
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/8580849.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/8580849.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/8580849?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:8580849. 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.