Optimization of a gas metal arc welding process using the desirability function and the genetic algorithm

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 218, Issue 1, 2004, Pages 35-41

  Kim, D ^a   Rhee, S ^b  

^a Samsung Heavy Industries Co   (South Korea)

^b Hanyang University   (South Korea)

Author keywords

Desirability function; Dual response approach; Genetic algorithm; GMA welding process; Optimizaton

Indexed keywords

CARBON DIOXIDE; CARBON STEEL; DEFECTS; ESTIMATION; FUNCTIONS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; REGRESSION ANALYSIS;

DESIRABILITY FUNCTION; DUAL RESPONSE APPROACH; MEAN SQUARE ERROR (MSE) METHOD;

GAS METAL ARC WELDING;

EID: 1242332900     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/095440504772830183     Document Type: Conference Paper

References (12)

1. Phadke, M. S. Quality Engineering Using Robust Design, 1989 (AT&T Bell Laboratories).
2. Box, G. E. P. Discussion of off-line quality control, parameter design, and the Taguchi method' by R. N. Kackar. J. Qual. Technol., 1985, 17, 189-190.
3. Vining, G. G. and Myers, R. H. Combining Taguchi and response surface philosophies: a dual response approach. J. Qual. Technol., 1990, 22(1), 38-45.
4. Myers, R. H. and Carter, W. H. Response surface techniques for dual response systems. Technometrics, 1973, 15(2), 301-317.
5. Castillo, E. D. and Montgomery, D. A nonlinear programming solution to the dual response problem. J. Qual. Technol., 1993, 25(3), 199-204.
6. Lin, D. K. J. and Tu, W. Dual response surface optimization. J. Qual. Technol., 1995, 27(1), 36-38.
7. Derringer, G. and Suich, R. Simultaneous optimization of several response variables. J. Qual. Technol., 1980, 12(4), 214-219.
8. Castillo, E. D., Montgomery, D. C. and McCarville, D. R. Modified desirability functions for multiple response optimization. J. Qual. Technol., 1996, 28(3), 337-345.
9. Goldberg, D. E. Genetic Algorithms in Search, Optimization, and Machine Learning, 1989 (Addison-Wesley, Reading, Massachusetts).
10. Grefenstette, J. J. Optimization of control parameters for genetic algorithms. IEEE Systems, Man and Cybernetics, 1986, 16, 122-128.
11. Kim, D. and Rhee, S. Optimization of welding process parameters for an arc welding process using a genetic algorithm. Weld. J., 2001, 80(7), 184s-189s.
12. Kim, D. and Rhee, S. Modeling and optimization of a GMA welding process by genetic algorithm and response surface methodology. Int. J. Prod. Res., 2002, 40(7), 1699-1711.