-
2
-
-
0034316425
-
The auto industry gears up for aluminum
-
11
-
Irving B (2000) The auto industry gears up for aluminum. Weld J 79(11):63-68
-
(2000)
Weld J
, vol.79
, pp. 63-68
-
-
Irving, B.1
-
3
-
-
33749148591
-
Porosity, underfill and magnesium loss during continuous wave Nd:YAG laser welding of thin plates of aluminum alloys 5182 and 5754
-
6
-
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
-
(1999)
Weld J
, vol.78
-
-
Pastor, M.1
Zhao, H.2
Martukanitz, R.P.3
Debroy, T.4
-
4
-
-
0011730308
-
Aluminum tailored blank welding with and without wire feed, using high power continuous wave Nd:YAG laser
-
Detroit, Michigan, September 1998
-
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
-
(1998)
Proceedings of the 1998 International Body Engineering Conference and Exposition (IBEC'98)
, vol.334
, pp. 247-256
-
-
Naeem, M.1
Jessett, R.2
-
5
-
-
0002024136
-
Laser beam welding of 5182 aluminum alloy sheet
-
3
-
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
-
(1999)
J Laser Appl
, vol.11
, pp. 109-118
-
-
Leong, K.H.1
Sabo, K.R.2
Altshuller, B.3
Wilkinson, T.L.4
Albright, C.E.5
-
6
-
-
0000729555
-
2 laser welding by using multiple regression and neural network
-
3
-
2 laser welding by using multiple regression and neural network. J Laser Appl 11(3):143-150
-
(1999)
J Laser Appl
, vol.11
, pp. 143-150
-
-
Park, H.1
Rhee, S.2
-
7
-
-
0033879015
-
Prediction of laser butt joint welding parameters using back propagation and learning vector quantization networks
-
1-3
-
Jeng J-Y, Mau T-F, Leu S-M (2000) Prediction of laser butt joint welding parameters using back propagation and learning vector quantization networks. J Mater Process Technol 99(1-3):207-218
-
(2000)
J Mater Process Technol
, vol.99
, pp. 207-218
-
-
Jeng, J.-Y.1
Mau, T.-F.2
Leu, S.-M.3
-
8
-
-
0032636579
-
Modelling gas metal arc weld geometry using artificial neural network technology
-
1
-
Chan B, Pacey J, Bibby M (1999) Modelling gas metal arc weld geometry using artificial neural network technology. Can Metall Q 38(1):43-51
-
(1999)
Can Metall Q
, vol.38
, pp. 43-51
-
-
Chan, B.1
Pacey, J.2
Bibby, M.3
-
9
-
-
33947226019
-
Development of a monitoring system for quality prediction in laser marking using fuzzy theory
-
1
-
Park YW, Kim T, Rhee S (2007) Development of a monitoring system for quality prediction in laser marking using fuzzy theory. J Laser App 19(1):55-63
-
(2007)
J Laser App
, vol.19
, pp. 55-63
-
-
Park, Y.W.1
Kim, T.2
Rhee, S.3
-
10
-
-
0035392642
-
Optimization of arc welding process parameters using a genetic algorithm
-
7
-
Kim D, Rhee S (2001) Optimization of arc welding process parameters using a genetic algorithm. Weld J 80(7):184s-189s
-
(2001)
Weld J
, vol.80
-
-
Kim, D.1
Rhee, S.2
-
11
-
-
24144456486
-
Optimal design of weld pattern in sheet metal assembly based on a genetic algorithm
-
5-6
-
Liao YG (2005) Optimal design of weld pattern in sheet metal assembly based on a genetic algorithm. Int J Adv Manuf Technol 26(5-6):512-516
-
(2005)
Int J Adv Manuf Technol
, vol.26
, pp. 512-516
-
-
Liao, Y.G.1
-
13
-
-
0032650376
-
Modeling, optimization and classification of weld quality in tungsten inert gas welding
-
9
-
Tarng YS, Tsai HL, Yeh SS (1999) Modeling, optimization and classification of weld quality in tungsten inert gas welding. Int J Mach Tools Manuf 39(9):1427-1438
-
(1999)
Int J Mach Tools Manuf
, vol.39
, pp. 1427-1438
-
-
Tarng, Y.S.1
Tsai, H.L.2
Yeh, S.S.3
-
15
-
-
0030411864
-
Optimizing a production process by a neural network/genetic algorithm approach
-
6
-
Sette S, Boullart L, Van Langenhove L (1996) Optimizing a production process by a neural network/genetic algorithm approach. Eng Appl Artif Intell 9(6):681-689
-
(1996)
Eng Appl Artif Intell
, vol.9
, pp. 681-689
-
-
Sette, S.1
Boullart, L.2
Van Langenhove, L.3
-
17
-
-
0002346490
-
A study of control parameters affecting online performance of genetic algorithms for function optimization
-
San Mateo, California, December 1989
-
Schaffer JD, Caruana RA, Eshelman LJ, Das R (1989) A study of control parameters affecting online performance of genetic algorithms for function optimization. In: Proceedings of the 3rd International Conference on Genetic Algorithms and their Applications (ICGA'89), San Mateo, California, December 1989, pp 51-60
-
(1989)
Proceedings of the 3rd International Conference on Genetic Algorithms and Their Applications (ICGA'89)
, pp. 51-60
-
-
Schaffer, J.D.1
Caruana, R.A.2
Eshelman, L.J.3
Das, R.4
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