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An Evolutionary Operation Sequence Optimization Tool for Robotic Spot Welding Based on Collision-Free Path Planner in Virtual Manufacturing
University of Skövde.ORCID iD: 0000-0001-8679-8049
2011 (English)In: Transactions of the North American Manufacturing Research Institution of SME, 2011, Vol. 39Conference paper, Published paper (Refereed)
Abstract [en]

Many problems in the lifecycle of Product and Production Development (PPD) can be formulated as optimization problems. But in most of the real-world cases, they are too complex to be solved by analytical models or classical optimization methods. CAx and Virtual Manufacturing (VM) tools are on the other hand being employed to create virtual representation of products and processes before any physical realization is conducted. Synergy of these two domains is of interest in this paper where planning a process with the minimum cycle-time for assembling a spot welded sheet-metal product is desired. The methodology suggests an extendible virtual manufacturing-based optimization approach using evolutionary algorithms. Accordingly, a novel toolset with integration of evolutionary optimization and a commercial VM environment is developed. More specifically, the latest feature which takes advantage of the collision avoidant segment path planning functionality of the VM tool and integrates it with the sequence optimizer is described.

Place, publisher, year, edition, pages
2011. Vol. 39
Keywords [en]
Collision-free path planning; Operation sequence planning; Optimization; Virtual manufacturing
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-205971Scopus ID: 2-s2.0-80455141698OAI: oai:DiVA.org:kth-205971DiVA, id: diva2:1090900
Conference
Proceedings of NAMRI/SME
Note

QC 20170427

Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2017-05-03Bibliographically approved

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Wang, Lihui

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  • Other locale
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