Synchronic Fuzzy Control of Master and Slave Arc in Twin-Wire Pulsed Metal Active Gas Welding

Kuan Fang He; Ji Gang Wu; Si Wen Xiao

doi:10.4028/www.scientific.net/AEF.2-3.69

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 2-3Synchronic Fuzzy Control of Master and Slave Arc...

Synchronic Fuzzy Control of Master and Slave Arc in Twin-Wire Pulsed Metal Active Gas Welding

Abstract:

This research aims at the retention of the stability of arcs in twin-arc pulsed metal active gas welding process. That is, a correction-factor fuzzy logic controller (FLC) is designed to keep the stability of arcs of twin-arcs pulsed metal active gas welding (MAG) process. In the controller, the peak arc voltage of the master welding power is controlled by the pulse base time with means of feed back of arc voltage. The peak arc voltage of slave welding power is controlled by the wire feeding speed with means of feed back of peak arc voltage. The adjusting fuzzy control rule with correction factor is introduced to design for controlling rule and table, and the FLC is realized in a Look-Up-Table (LUT) method. With the controller, the arc length can be kept stable in welding process. Experimental results are provided to confirm the effectiveness of this approach.

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Periodical:

Advanced Engineering Forum (Volumes 2-3)

Pages:

69-73

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.2-3.69

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Online since:

December 2011

Authors:

Kuan Fang He, Ji Gang Wu, Si Wen Xiao

Keywords:

Fuzzy Control, Master Arc, Modifying Factor, Pulsed MAG Welding, Slave Arc, Synchronic Control

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Creative Commons CC BY 4.0

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References

[1] K.Michie, S.Blackman, Twin-wire GMAW process characteristics and applications, Welding Journal, 5 (1999) 31-34.

Google Scholar

[2] J.Nadzam, Tandem GMAW offers quality weld deposits, high travel speeds, Welding Design and Fabrication, 11 (2003): 28-31.

Google Scholar

[3] Y.M. Meng. Study on fuzzy logic control for GMAW-P droplet transfer process, South China University of Technology, Guangzhou, china, 2001.

Google Scholar

[4] Q.Chen, J.L. Pan, Fuzzy control in welding process. Chinese Journal of Mechanical Engineering, 31(1999) 86-91.

Google Scholar

[5] Y.S.Li, Fuzzy control theory and its application in process control, National Defense Industry Publishing House, Beijing, china, 1993.

Google Scholar

[6] L.Y. Zhang, J.L.Ye .Study of two-dimension fuzzy algorithm with adjustable factors based on control expectation, Computer Automated Measurement & Control, 10(2002) 651-652.

Google Scholar