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Authors: Orlando Duran 1 ; Nibaldo Rodriguez 1 and Luiz Airton Consalter 2

Affiliations: 1 Pontificia Universidad Catolica de Valparaiso, Chile ; 2 FEAR Universidade de Passo Fundo, Brazil

ISBN: 978-989-8111-33-3

Abstract: The purpose of this paper is to present a new adaptive solution based on a feed forward neural network (FNN) in order to improve the task of selecting cutting conditions for milling operations. From a set of inputs parameters, such as work material, its mechanical properties, and the type of cutting tool, the system suggests feed rate and cutting speed values. The four main issues related to the neural network-based techniques, namely, the selection of a proper topology of the neural network, the input representation, the training method and the output format are discussed. The proposed network was trained using a set of inputs parameters provided by cutting operations manuals and tool manufacturers catalogues. Some tests and results show that adaptative solution proposed yields performance improvements. Finally, future work and potential applications are outlined.

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Paper citation in several formats:
Duran O.; Rodriguez N.; Airton Consalter L. and (2008). End Milling: A Neural Approach for Defining Cutting Conditions.In Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2008) ISBN 978-989-8111-33-3, pages 41-50. DOI: 10.5220/0001495400410050

@conference{anniip08,
author={Orlando Duran and Nibaldo Rodriguez and Luiz {Airton Consalter}},
title={End Milling: A Neural Approach for Defining Cutting Conditions},
booktitle={Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2008)},
year={2008},
pages={41-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001495400410050},
isbn={978-989-8111-33-3},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2008)
TI - End Milling: A Neural Approach for Defining Cutting Conditions
SN - 978-989-8111-33-3
AU - Duran, O.
AU - Rodriguez, N.
AU - Airton Consalter, L.
PY - 2008
SP - 41
EP - 50
DO - 10.5220/0001495400410050

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