A novel hybrid intelligent optimization model for twin wire tandem co-pool high-speed submerged arc welding of steel plate

Author:

HE Kuanfang1,XIAO Dongming1

Affiliation:

1. Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference36 articles.

1. Absi Alfaro, S.C., Carvalho, G.C. and Da Cunhab, F.R., A statistical approach for monitoring stochastic welding processes, Journal of Materials Processing Technology, No.175 (2001), pp.4-14.

2. Ahmad, S. and Luo, S., Coordinated motion control of multiple robotic devices for welding and redundancy coordination through constrained optimization in Cartesian space, IEEE Transactions on Robotics and Automation, Vol.5, No.4 (1989), pp.409-417.

3. Chao, Y.S. and Liu, H.J., Welding Robot Path Optimization and Simulation for Body in White, China mechanical engineering, Vol.21, No.4 (2010), pp.442-445.

4. Cullen, J.D., Athi, N., Al-Jader, M., Johnson, P., Al-Shammaa, A.I. and Shaw, A., Multisensor fusion for on line monitoring of the quality of spot welding in automotive industry, Measurement, No.41 (2008), pp.412-423.

5. Dickinson, D.W., Franklin, J.E. and Stanya, A., Characterization of spot welding behavior by dynamic electrical parameter monitoring, Welding Journal, No.59 (1980), pp.170-176.

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