loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.133.108.241

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Duran, O.; Rodriguez, N. and Airton Consalter, L. (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 (ICINCO 2008) - ANNIIP; ISBN 978-989-8111-33-3, SciTePress, 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 (ICINCO 2008) - ANNIIP},
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 (ICINCO 2008) - ANNIIP
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
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic