Free-Form Trap Design for Vibratory Feeders using a Genetic Algorithm and Dynamic Simulation

Daniel Franzéen Haraldson, Lars Carøe Sørensen, Simon Mathiesen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The task of feeding parts into a manufacturing system is still extensively handled using classical vibratory bowl feeders. However, the task of designing these feeders is complex and largely handled by experience and trial-and-error. This paper proposes a Self-Adaptive Genetic Algorithm based learning strategy that uses dynamic simulation to validate feeder designs. Compared to previous approaches of ensuring parts are oriented to a desired orientation by both deciding on a set of suitable mechanisms and then optimizing them to the specific part, this strategy learns a free-form design needing little prior domain knowledge from the designer. This novel approach to feeder design is validated on two different parts and it creates designs of hills and valley that reorients the parts to a single orientation. The found designs are validated both in simulation and with real-world experiments and achieve high success rates for reorienting the parts.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Informatics in Control, Automation and Robotics : ICINCO
EditorsOleg Gusikhin, Kurosh Madani, Janan Zaytoon
Volume1
PublisherSCITEPRESS Digital Library
Publication date10. Jul 2020
Pages294-304
ISBN (Electronic)978-989-758-442-8
DOIs
Publication statusPublished - 10. Jul 2020
Event17th International Conference on Informatics in Control, Automation and Robotics (ICINCO) -
Duration: 7. Jul 20209. Jul 2020

Conference

Conference17th International Conference on Informatics in Control, Automation and Robotics (ICINCO)
Period07/07/202009/07/2020

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  • Cite this

    Haraldson, D. F., Sørensen, L. C., & Mathiesen, S. (2020). Free-Form Trap Design for Vibratory Feeders using a Genetic Algorithm and Dynamic Simulation. In O. Gusikhin, K. Madani, & J. Zaytoon (Eds.), Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics: ICINCO (Vol. 1, pp. 294-304). SCITEPRESS Digital Library. https://doi.org/10.5220/0009816402940304