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Proceedings Paper

Intelligent hybrid system of welding parameters for robotic arc-welding task-level offline programming
Author(s): Pai Peng; Jiansong Tian; Lin Wu; Ming Dai
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Paper Abstract

Welding process parameters are indispensable to program arc welding robot. To simplify off-line programming (OLP) for robotic arc welding, we develop an arc welding expert system whcih can generate welding process parameters automatically. Its input data came from the feature database of welding part, which is set up by our feature modeling system. The expert system has become an important module of our RAWTOLPS (Robotic Arc Welding Task-level Off-Line System). It combines case-based reasoning with heuristic rule-based reasoning methods to deal with the welding process design. Moreover, artificial neural networks are introduced to the systems for reasoning and machine learning, and several network modules are developed to learn from welding process database, based on back-propagation neural networks. After some groups of actual welding process data were used to train the network models, several network models are established to both design the welding process and to predict the weld bead shape. Besides the ANN-based learning, cased-based learning are used in the expert system. These two methods have respectively their own characteristics, and can meet qualifications of different users. The experimental data show that the system can accomplish re-learning and expanding of welding process knowledge, and satisfy the command of the off-line programming system.

Paper Details

Date Published: 13 October 2000
PDF: 6 pages
Proc. SPIE 4192, Intelligent Systems in Design and Manufacturing III, (13 October 2000); doi: 10.1117/12.403677
Show Author Affiliations
Pai Peng, Harbin Institute of Technology (China)
Jiansong Tian, Harbin Institute of Technology (China)
Lin Wu, Harbin Institute of Technology (China)
Ming Dai, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 4192:
Intelligent Systems in Design and Manufacturing III
Bhaskaran Gopalakrishnan; Angappa Gunasekaran, Editor(s)

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