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

Menelaos Pappas, Ioannis Ntziantzias, John Kechagias, Nikolaos Vaxevanidis

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.

References

  1. Wang, J. & Wong, W. (1999). Study of abrasive waterjet cutting of metallic coated sheet steels. International Journal of Machine Tools & Manufacture, 39, pp. 855- 870.
  2. Demuth, H. & Beale, M. (2001). Neural networks toolbox for use with Matlab, User's guide. The MathWorks, Inc.
  3. Gudimetla, P., Wang, J. & Wong, W. (2002). Kerf formation analysis in the abrasive waterjet cutting of industrial ceramics. Journal of Materials Processing Technology, 128 (1-3), pp. 123-129.
  4. Hascalik, A., Ulas, C. & Gurun, H. (2007). Effect of traverse speed on abrasive waterjet machining of Ti6Al-4V alloy. Materials & Design, 28(6), pp. 1953- 1957.
  5. Jegaraj, J. J. R. & Babu, N. R. (2007). A soft computing approach for controlling the quality of cut with abrasive waterjet cutting system experiencing orifice and focusing tube wear. Journal of Materials Processing Technology , 185 (1-3), pp. 217-227.
  6. Kechagias, J. (2007). Investigation of LOM process quality using design of experiments approach. Rapid Prototyping Journal, 13(5), 316-323.
  7. Kechagias, J., Pappas, M., Karagiannis, S., Petropoulos, G., Iakovakis, V. & Maropoulos, S. (2010). An ANN approach on the optimization of the cutting parameters during CNC plasma-arc cutting. In: Proceedings of ESDA2010: 10th Biennial ASME Conference on Engineering Systems Design and Analysis, 12-14 July 2010, Istanbul, Turkey.
  8. Momber, A. W. & Kovacevic, R. (1997). Principles of Abrasive Water Jet Machining. Springer.
  9. Olson, G. B. & Azrin, M. (1978). Transformation behavior of TRIP steels. Metallurgical and Materials Transactions A, 9(5), pp. 713-721.
  10. Pappas, M., Kechagias, J., Iakovakis, V. & 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, pp, 595-598.
  11. Petropoulos, G., Tsolakis, N.; Vaxevanidis, N. & Antoniadis, A. (2009) Topographic description of abrasive waterjet machined surfaces. In: Proc. 2nd European Conference on Tribology -ECOTRIB 2009, 7-10 June 2009, Pisa, Italy, pp. 309-314.
  12. Valicek, J. et al. (2007). Experimental analysis of irregularities of metallic surfaces generated by abrasive waterjet. International Journal of Machine Tools & Manufacture, 47(11), pp. 1786-1790.
  13. Vaxevanidis, N. M., Markopoulos A. & Petropoulos G. (2010). Artificial Neural Network Modeling of Surface Quality Characteristics in Abrasive Water Jet Machining of Trip Steel Sheet. In: J.P. Davim (ed.) Artificial Intelligence in Manufacturing Research. Nova Science Publishers, Inc, pp 79-99.
Download


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