TY - GEN
T1 - Design of lifting permanent magnet based on neural network
AU - Ding, Ning
AU - Wang, Yunpeng
AU - Li, Shiwu
AU - Zhang, Dingtong
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Lifting permanent magnet
KW - Neural network driving system
UR - https://www.scopus.com/pages/publications/70450180719
U2 - 10.1109/ICAL.2009.5262752
DO - 10.1109/ICAL.2009.5262752
M3 - 会议稿件
AN - SCOPUS:70450180719
SN - 9781424447954
T3 - Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009
SP - 1383
EP - 1386
BT - Proceedings of the 2009 IEEE International Conference on Automation and Logistics, ICAL 2009
T2 - 2009 IEEE International Conference on Automation and Logistics, ICAL 2009
Y2 - 5 August 2009 through 7 August 2009
ER -