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Authors: Menelaos Pappas 1 ; John Kechagias 1 ; Vassilis Iakovakis 1 and Stergios Maropoulos 2

Affiliations: 1 Technological Educational Institute of Larissa, Greece ; 2 Technological Educational Institute of Western Macedonia, Greece

Keyword(s): Artificial neural network, Cutting parameters, Process optimization, Surface quality.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: A Neural Network modelling approach is presented for the prediction of surface texture parameters during end milling of aluminium alloy 5083. Eighteen carbide end mill cutters were manufactured by a five axis grinding machine and assigned to mill eighteen pockets having different combinations of geometry parameters and cutting parameter values, according to the L18 (21x37) standard orthogonal array. A feed-forward back-propagation NN was developed using data obtained from experimental work conducted on a CNC milling machine center according to the principles of Taguchi’s design of experiments method. It was found that NN approach can be applied easily on designed experiments and predictions can be achieved, fast and quite accurately.

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Paper citation in several formats:
Pappas, M.; Kechagias, J.; Iakovakis, V. and Maropoulos, S. (2011). SURFACE ROUGHNESS MODELLING AND OPTIMIZATION IN CNC END MILLING USING TAGUCHI DESIGN AND NEURAL NETWORKS . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8425-40-9; ISSN 2184-433X, SciTePress, pages 595-598. DOI: 10.5220/0003180505950598

@conference{icaart11,
author={Menelaos Pappas. and John Kechagias. and Vassilis Iakovakis. and Stergios Maropoulos.},
title={SURFACE ROUGHNESS MODELLING AND OPTIMIZATION IN CNC END MILLING USING TAGUCHI DESIGN AND NEURAL NETWORKS },
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2011},
pages={595-598},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003180505950598},
isbn={978-989-8425-40-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - SURFACE ROUGHNESS MODELLING AND OPTIMIZATION IN CNC END MILLING USING TAGUCHI DESIGN AND NEURAL NETWORKS
SN - 978-989-8425-40-9
IS - 2184-433X
AU - Pappas, M.
AU - Kechagias, J.
AU - Iakovakis, V.
AU - Maropoulos, S.
PY - 2011
SP - 595
EP - 598
DO - 10.5220/0003180505950598
PB - SciTePress

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