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
Link To Document :
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