Journal of Welding and Joining

The Korean Welding and Joining Society (대한용접접합학회)
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Optimization of Process Parameters Using a Genetic Algorithm for Process Automation in Aluminum Laser Welding with Filler Wire

용가 와이어를 적용한 알루미늄 레이저 용접에서 공정 자동화를 위한 유전 알고리즘을 이용한 공정변수 최적화

  • Park, Young-Whan (The BK21 Program for Research and Education in Mechanical Engineering, Hanyang University)
  • 박영환 (한양대학교 BK21 혁신설계 기계인력 양성사업단)
  • Published : 2006.10.31
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Abstract

Laser welding is suitable for welding to the aluminum alloy sheet. In order to apply the aluminum laser welding to production line, parameters should be optimized. In this study, the optimal welding condition was searched through the genetic algorithm in laser welding of AA5182 sheet with AA5356 filler wire. Second-order polynomial regression model to estimate the tensile strength model was developed using the laser power, welding speed and wire feed rate. Fitness function for showing the performance index was defined using the tensile strength, wire feed rate and welding speed which represent the weldability, product cost and productivity, respectively. The genetic algorithm searched the optimal welding condition that the wire feed rate was 2.7 m/min, the laser power was 4 kW and the welding speed was 7.95 m/min. At this welding condition, fitness function value was 137.1 and the estimated tensile strength was 282.2 $N/mm^2$.

Keywords

References

  1. G. Mather : The Welding of Aluminum and its Alloy, Woodhead Publishing Ltd, (2002)
  2. K. H. Leong, K. R. Sabo, B. Altshuller, T. L. Wilkinson and C. E. Albright : Laser Beam Welding of 5182 Aluminum Alloy Sheet, Journal of Laser Applications, 11-3 (1999), 109-118 https://doi.org/10.2351/1.521881
  3. M. Pastor, H. Zhao, R. P. Martukanitz and T. Debroy : Porosity, Underfill and Magnesium Loss during Continuous Wave Nd:YAG Laser welding of Thin Plates of Aluminum Alloys 5182 and 5754, Welding Journal, 78-6 (1999), 207s-216s
  4. M. Naeem and R. Jessett, 'Aluminium Tailored Blank Welding With and Without Wire Feed, Using High Power Continuous Wave Nd:YAG Laser, SAE Conference Proceedings P, 334 (1998), 247-256
  5. J. W. Yoon : Laser welding of aluminum alloys, Journal of Korean Welding Society, 18-2 (2000), 20-26 (in Korean)
  6. A. S. Salminen and V. P. Kujanpää : Effect of Wire Feed Position on Laser Welding with Filler Wire, Journal of Laser Applications, 15-1 (2003), 2-10 https://doi.org/10.2351/1.1514220
  7. D. Kim and S. Rhee : Determination of Optimal Conditions for a Gas Metal Arc Welding Process Using Genetic Algorithm, Journal of Korean Welding Society, 18-5 (2000), 63-69 (in Korean)
  8. D. Kim and S. Rhee : Optimization of Arc Welding Process Parameters Using a Genetic Algorithm, Welding Journal, 80-7 (2001), 184s-189s
  9. D. S. Correia, C. V. Gonçalves, S. S. da Cunha, Jr. and V. A. Ferraresi : Comparison Between Genetic Algorithms and Response Surface Methodology in GMAW Welding Optimization, Journal of Materials Processing Technology, 160-1 (2005), 70-76 https://doi.org/10.1016/j.jmatprotec.2004.06.003
  10. Y. W. Park : A Study of the Process Variables Optimization Methodology and Intelligent Quality Estimation for the Manufacturing automation in Laser Material Processing, Ph. D. Dissertation. Hanyang University, (2006)
  11. J. D. Schaffer, R. A. Caruana, L. J. Eshelman, and R. Das : A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization, Proceedings of 3th International Conference on Genetic Algorithms and Their Applications, (1989), 51-60