• Journal of the Korean Society for Precision Engineering
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• v.16 no.1 s.94
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• pp.49-60
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• 1999

This paper addresses a welding task sequencing for robot arc welding process planning. Although welding task sequencing is an essential step in the welding process planning, it has not been considered through a systematic approach, but it depends rather on empirical knowledge. Thus, an effective task sequencing for robot arc welding is required. Welding perations can be classified by the number of welding robots. Genetic algorithms are applied to tackle those welding task sequencing problems. A genetic algorithm for traveling salesman problem (TSP) is utilized to determine welding task sequencing for a MultiWeldline-SingleLayer problem. Further, welding task sequencing for multiWeldline-MultiLayer welding is investigated and appropriate genetic algorithms are introduced. A random key genetic algorithm is also proposed to solve multi-robot welding sequencing : MultiWeldline with multi robots. Finally, the genetic algorithm are implemented for the welding task sequencing of three dimensional weld plate assemblies. Robot welding operations conforming to the algorithms are simulated in graphic detail using a robot simulation software IGRIP.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.10a
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• pp.446-449
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• 1993

Presented in this paper is the process planning for multi-weldline/multi-pass robot welding. First, downhand welding for welding quality and stability for welding productivity, the two concept of process planning for single-weldling/single-pass robot weldling are derived. Next, process planning procedure for single-weldling/single-pass robot weldling is proposed and the procedure is extended for multi-weldling and/or multi-pass robot welding.