MODELING OF ABRASIVE WATER JET MACHINING USING TAGUCHI METHOD AND ARTIFICIAL NEURAL NETWORKS

Menelaos Pappas, Ioannis Ntziantzias, John Kechagias, Nikolaos Vaxevanidis

2011

Abstract

This work presents a hybrid approach based on the Taguchi method and the Artificial Neural Networks (ANNs) for the modeling of surface quality characteristics in Abrasive Water Jet Machining (AWJM). The selected inputs of the ANN model are the thickness of steel sheet, the nozzle diameter, the stand-off distance and the traverse speed. The outputs of the ANN model are the surface quality characteristics, namely the kerf geometry and the surface roughness. The data used to train the ANN model was selected according to the Taguchi’s design of experiments. The acquired results indicate that the proposed modelling approach could be effectively used to predict the kerf geometry and the surface roughness in AWJM, thus supporting the decision making during process planning.

Paper Citation

in Harvard Style

Pappas M., Ntziantzias I., Kechagias J. and Vaxevanidis N. (2011). MODELING OF ABRASIVE WATER JET MACHINING USING TAGUCHI METHOD AND ARTIFICIAL NEURAL NETWORKS . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 377-380. DOI: 10.5220/0003681103770380

in Bibtex Style

@conference{ncta11,
author={Menelaos Pappas and Ioannis Ntziantzias and John Kechagias and Nikolaos Vaxevanidis},
title={MODELING OF ABRASIVE WATER JET MACHINING USING TAGUCHI METHOD AND ARTIFICIAL NEURAL NETWORKS},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={377-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003681103770380},
isbn={978-989-8425-84-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - MODELING OF ABRASIVE WATER JET MACHINING USING TAGUCHI METHOD AND ARTIFICIAL NEURAL NETWORKS
SN - 978-989-8425-84-3
AU - Pappas M.
AU - Ntziantzias I.
AU - Kechagias J.
AU - Vaxevanidis N.
PY - 2011
SP - 377
EP - 380
DO - 10.5220/0003681103770380