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In-process part tracking and shape measurement using vision-based motion capture for automated English wheeling

Yahui Zhang, Derick Suarez, Kornel F. Ehmann, Jian Cao, Ping Guo

发表年份
2024
引用次数
2

摘要

An English wheel is an exceedingly adaptable instrument in traditional metalworking. It is a manual manufacturing technique, enabling skilled craftsmen and blacksmiths to shape complex compound curves in sheet metal panels. Accurate measurements and precise adjustments are essential when operating an English wheel to ensure that the metal is shaped with the desired curvature. An automated method to form English wheeled panels through robot forming has recently been proposed. For such a method to be successful, accurate tracking of sheet information including positions, orientations, and deformation is important for error compensation and the design of the subsequent tool paths. In this study, a Vicon motion capture system is employed to monitor the position and shape of the sheet metal during the English wheeling process. The initial experimental results demonstrate the potential of such an in-process metrology system, along with possible avenues for future work.

关键词

Computer visionArtificial intelligenceTracking (education)Process (computing)WheelingMotion (physics)Motion captureComputer scienceMatch movingEngineering

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