Process modeling and parameter optimization using neural network and genetic algorithms for aluminum laser welding automation-Reference-Cited by-同舟云学术

Process modeling and parameter optimization using neural network and genetic algorithms for aluminum laser welding automation

Published:2007-06-27 Issue:9-10 Volume:37 Page:1014-1021
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Park Young Whan,Rhee Sehun

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00170-007-1039-3.pdf

Reference17 articles.

1. Mather G (2002) The welding of aluminium and its alloy. Woodhead Publishing, Cambridge, UK, pp 1–9

2. Irving B (2000) The auto industry gears up for aluminum. Weld J 79(11):63–68

3. Pastor M, Zhao H, Martukanitz RP, Debroy T (1999) Porosity, underfill and magnesium loss during continuous wave Nd:YAG laser welding of thin plates of aluminum alloys 5182 and 5754. Weld J 78(6):207s–216s

4. Naeem M, Jessett R (1998) Aluminum tailored blank welding with and without wire feed, using high power continuous wave Nd:YAG laser. In: Proceedings of the 1998 International Body Engineering Conference and Exposition (IBEC’98), Detroit, Michigan, September 1998, vol 334, pp 247–256

5. Leong KH, Sabo KR, Altshuller B, Wilkinson TL, Albright CE (1999) Laser beam welding of 5182 aluminum alloy sheet. J Laser Appl 11(3):109–118

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