• DocumentCode
    3482473
  • Title

    Design of lifting permanent magnet based on neural network

  • Author

    Ding, Ning ; Wang, Yunpeng ; Li, Shiwu ; Zhang, Dingtong

  • Author_Institution
    Mech. Eng. Coll., Changchun Univ., Changchun, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    1383
  • Lastpage
    1386
  • Abstract
    A novel and saving energy logistics handling equipment - rare earth lifting permanent magnet was designed, which can completely overcome the disadvantages found from lifting electromagnet. The working principle and neural network model of magnetic circuit design were developed. At the same time, a perfect self-acting driving system was invented, which guarantees that the attracted ferromagnetic cargo or products can be lifted or unloaded fast and conveniently without using any electricity at all. Industry prototypes were manufactured, and they verified that the proposed design for rare earth lifting permanent magnet was feasible.
  • Keywords
    freight handling; lifting equipment; logistics; neural nets; permanent magnets; prototypes; energy saving logistics handling equipment; ferromagnetic cargo handling; ferromagnetic products; industry prototype manufacture; magnetic circuit design; neural network; rare earth lifting permanent magnet design; self-acting driving system; Educational institutions; Electromagnets; Geoscience; Logistics; Magnetic circuits; Magnetic fields; Magnetic flux; Neural networks; Permanent magnets; Wheels; Lifting Permanent; driving system; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262752
  • Filename
    5262752