Paper Title:
A Study of Fuzzy Neural Networks Control for the Quality of Resistance Spot Welding
  Abstract

A fuzzy neural network based system was developed to control the quality of resistance spot welding. A fuzzy neural controller (FNC) was designed to realize the memory of the fuzzy neural control bases on a back propagation (BP) network, accordingly achieve the mapping of fuzzy input and output. The experiment results show that this method can compensate the multi-crossfire’s influence on the welding currency, keep a high control precision, and fulfill the demand of high precision quality monitoring to the resistance spot welding.

  Info
Periodical
Chapter
Chapter 9: Welding and Mechanical Connections and Fracture
Edited by
Huixuan Zhang, Ye Han, Fuxiao Chen and Jiuba Wen
Pages
1888-1894
DOI
10.4028/www.scientific.net/AMM.117-119.1888
Citation
Z. H. Guo, P. Fang, J. H. Cui, J. Wang, "A Study of Fuzzy Neural Networks Control for the Quality of Resistance Spot Welding", Applied Mechanics and Materials, Vols. 117-119, pp. 1888-1894, 2012
Online since
October 2011
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Price
$32.00
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