IDEAS home Printed from https://ideas.repec.org/a/eee/recore/v54y2010i9p571-578.html
   My bibliography  Save this article

Automatic sorting of lightweight metal scrap by sensing apparent density and three-dimensional shape

Author

Listed:
  • Koyanaka, Shigeki
  • Kobayashi, Kenichiro

Abstract

A new method for the automatic sorting of lightweight metal scrap has been developed to aid the recycling of scrap metal. The sorting system enables separation of relatively large metal pieces according to the differences in their apparent density and three-dimensional (3D) shape. Shape parameters such as width, height, volume, and projected area of irregular-shaped metal pieces moving along a conveyer are measured by means of a 3D imaging camera system consisting of a linear laser and camera with associated optics. The measured values of the weight and shape parameters are transferred to our own data-processing software that uses multivariate analysis. Mixed fragments of cast aluminum, wrought aluminum, and magnesium from an end-of-life vehicles shredder facility were sorted based on the output of the data-processing software. The results show that the developed automatic sorting system is a highly viable method that could replace conventional dense medium separation and manual sorting.

Suggested Citation

  • Koyanaka, Shigeki & Kobayashi, Kenichiro, 2010. "Automatic sorting of lightweight metal scrap by sensing apparent density and three-dimensional shape," Resources, Conservation & Recycling, Elsevier, vol. 54(9), pages 571-578.
  • Handle: RePEc:eee:recore:v:54:y:2010:i:9:p:571-578
    DOI: 10.1016/j.resconrec.2009.10.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921344909002389
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resconrec.2009.10.014?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. Koyanaka, Shigeki & Kobayashi, Kenichiro & Yamamoto, Yoshitake & Kimura, Masato & Rokucho, Kenso, 2013. "Elemental analysis of lightweight metal scraps recovered by an automatic sorting technique combining a weight meter and a laser 3D shape-detection system," Resources, Conservation & Recycling, Elsevier, vol. 75(C), pages 63-69.
    2. Koyanaka, Shigeki & Kobayashi, Kenichiro, 2011. "Incorporation of neural network analysis into a technique for automatically sorting lightweight metal scrap generated by ELV shredder facilities," Resources, Conservation & Recycling, Elsevier, vol. 55(5), pages 515-523.

    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:eee:recore:v:54:y:2010:i:9:p:571-578. 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: Kai Meng (email available below). General contact details of provider: https://www.journals.elsevier.com/resources-conservation-and-recycling .

    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.