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Authors: Daniel Franzéen Haraldson ; Lars Carøe Sørensen and Simon Mathiesen

Affiliation: SDU Robotics, The Maersk McKinney Moller Institute, University of Southern Denmark, 5230 Odense M, Denmark

Keyword(s): Self-adaptive Genetic Algorithm, Dynamic Simulation, Part Feeding, Vibratory Feeders, Optimization.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Haraldson, D. ; Sørensen, L. and Mathiesen, S. (2020). Free-form Trap Design for Vibratory Feeders using a Genetic Algorithm and Dynamic Simulation. In Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-442-8; ISSN 2184-2809, SciTePress, pages 294-304. DOI: 10.5220/0009816402940304

@conference{icinco20,
author={Daniel Franzéen Haraldson and Lars Carøe Sørensen and Simon Mathiesen},
title={Free-form Trap Design for Vibratory Feeders using a Genetic Algorithm and Dynamic Simulation},
booktitle={Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2020},
pages={294-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009816402940304},
isbn={978-989-758-442-8},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - Free-form Trap Design for Vibratory Feeders using a Genetic Algorithm and Dynamic Simulation
SN - 978-989-758-442-8
IS - 2184-2809
AU - Haraldson, D.
AU - Sørensen, L.
AU - Mathiesen, S.
PY - 2020
SP - 294
EP - 304
DO - 10.5220/0009816402940304
PB - SciTePress

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