Experimental Study and Modeling of Friction Stir Welding Process of Aluminum 1100 Alloys, using Artificial Neural Network with Taguchi Method

Subject Areas : Mechanical Engineering

V. Zakeri Mehrabad ¹ , Ali Doniavi ² , A. Gholipoor ³

1 - Teacher at Azad University of Tabriz, Mechanical Department
2 - Mechanical Engineering Department, Faculty of Engineering, Urmia University, Urmia, Iran
3 - Teacher at Azad University of Tabriz, Mechanical Department *Corresponding author

Received: 2016-04-19 Accepted : 2016-07-04 Published : 2017-01-14

Keywords:

References:

[1]     Mishra, R. S., Ma, Z. Y., and Charit, I., “Friction stir welding and processing”, Materials Science and Engineering R, Vol. 50, No.1, 2005, pp. 1–78.

[2]     Mishra, R. S., Ma, Z. Y., and Charit, I., “Friction stir processing: a novel technique for fabrication of surface composite”, Materials Science and Engineering A, Vol. 341, No.1, 2003, pp. 307-310.

[3]     Hofmann, D. C., Vecchio, K. S., “Submerged friction stir processing (SFSP): An improved method for creating ultra-fine-grained bulk materials”, Materials Science & Engineering A, Vol. 402, No.1, 2005, pp. 234–241.

[4]     Darras, B. M., Khraisheh, M. K., Abu-Farha, F. K., and Omar, M. A., “Friction stir processing of commercial AZ31 magnesium alloy”, Journal of Materials Processing Technology, Vol. 191, No.1, 2007, pp. 77–81.

[5]     Elangovan, K., Balasubramanian, V., “Influences of tool pin profile and axial force on the formation of friction stir processing zone in AA6061 aluminium alloy”, Int J Adv Manuf Technol, Vol. 38, No. 1, 2008, pp. 285–295.

[6]     Khodir, S. A., Shibayanagi, T., “Friction stir welding of dissimilar AA2024 and AA7075 aluminum alloys”, Materials Science and Engineering B, Vol. 148, No.1, 2008, pp. 82–87.

[7]     Zhang, H., Lin, S. B., Wu, L., Feng, J. C., and Ma, Sh. L., “Defects formation procedure and mathematic model for defect free friction stir welding of magnesium alloy”, Materials and Design, Vol. 27, No.1, 2006, pp. 805–809.

[8]     Kostka, A., Coelho, R. S., dos Santos, J., and Pyzalla, A. R., “Microstructure of friction stir welding of aluminium alloy to magnesium alloy”, Scripta Materialia, Vol. 60, No.1, 2009, pp. 953–956.

[9]     Elangovan, K., Balasubramanian, V., “Influences of tool pin profile and tool shoulder diameter on the formation of friction stir processing zone in AA6061 aluminium alloy”, Materials and Design, Vol. 29, No.1, 2008, pp. 362–373.

[10]  Rhodes, C. G., Mahoney, M. W., Bingel, W. H., Spurling, R. A., and Bampton, C. C., “ Effects of friction stir welding on microstructure of 7075 aluminum”, Vol. 36, No.1, 1997, pp. 69-75.

[11]  Liu, G., Murr, L. E., Niou, C. S., McClure, J. C., and Vega, F. R., “Microstructural aspects of the friction-stir welding of 6061-T6 aluminum”, Scripta Mater, Vol. 37, No.3, 1997, pp. 355-361.

[12]  Murr, L. E., Liu, G., and McClure, J. C., “A TEM study of precipitation and related microstructures in friction-stir-welded 6061 aluminium”, J. Mater. Sci., Vol. 33, No.5, 1998, pp. 1243-1251.

[13]  Benavides, S., Li, Y., Murr, L. E., Brown, D., and McClure, J.  C., “Low-temperature friction-stir welding of 2024 aluminum”, Scripta Mater, Vol. 41, No.8, 1999, pp. 809-815.

[14]  Ko, D., Kim, D. H., Kim, B. M., “Application of artificial neural network and Taguchi method to perform design in metal forming considering workability,” International Journal of Machine Tools & Manufacture Vol. 39, No. 1, 1999, pp. 771–785.

[15]  Khaw, J. F. C., Lim, B. S., Lim, L. E. N., “Optimal  design of neural  networks  using the  Taguchi method”, Neurocomputing, Vol. 7, No. 1, 1995, pp. 225-245.

[16]  Basheer, I. A., Hajmeer, M., “Artificial neural networks: fundamentals, computing, design, and application”, Journal of Microbiological Methods, Vol. 43, No. 1, 2000, pp. 3–31.

[17]  Kohonen, T., Self-organisation and Associative Memory, Springer Verlag, Berlin, 1988.

[18]  Svozil, D., Kvasnicka,V., Pospichal, J., “Introduction to multi-layer feed-forward neural networks”, Chemometrics and Intelligent Laboratory Systems Vol. 39, No. 1, 1997, pp. 43-62.

[19]  Scarselli, F., Tsoi, A. C., “Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results”, Neural Networks, Vol. 11, No. 1, 1998, pp. 15–37.

[20]  Montgomery, D. C., “Design and Analysis of Experiments”, Fifth Edition, John Wiley & Sons, United States of America, 2001.

[21]  Roy, R. K., “A Primer on the Taguchi Method”, Society of Manufacturing Engineers, 2010.