Advertisement

Predication of Properties of Welding Joints Based on Uniform Designed Neural Network

  • Shi Yu
  • Li Jianjun
  • Fan Ding
  • Chen Jianhong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4234)

Abstract

It is difficult to predict the mechanical properties of welded joints because of non-linearity in welding process and complicated mutual effects in multi composition welding material. Based on these practical problems, the application of neural network technology in predicting mechanical properties of welding joints is developed. The modeling method has been studied and the author puts forward that the parameters of neutral network can be optimized by the method of uniform design. The neutral network model of mechanical properties of welding joints is established on the basis of the data of welding thermal simulation, and the experimental results show that this model can predict the mechanical properties including impact toughness, tensile strength, subdued strength, reduction ratio of area and hardness more accurately. At the same time, using this method can improve estimating precision largely compared with using traditional statistic method. That is, this method provides an effective approach to estimate the mechanical properties of welding joints.

Keywords

Impact Toughness Heat Affected Zone Uniform Design Neural Network Technology Uniform Design Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Cook, G.E.: Artificial neural networks applied to arc welding process modeling and control. IEEE Transactions on Industry Applications 26(5), 824–830 (1996)Google Scholar
  2. 2.
    Mozer, M.C., Jordan, M.L., Petsche, T.: Advances in neural information processing systems, Cambridge, pp. 162–168 (May 1997)Google Scholar
  3. 3.
    Tian, G.L., Fang, K.T.: Uniform design for mixture-amount experiments and for mixture experiments under order restrictions. Science in China, Ser. A 42(5), 456–470 (1999)CrossRefMATHMathSciNetGoogle Scholar
  4. 4.
    Fang, K.T., Lu, X., Tang, Y., Yin, J.X.: Constructions of Uniform Designs by Using Resolvable Packings and Coverings. Discrete Mathematics 2704, 25–40 (2004)CrossRefMathSciNetGoogle Scholar
  5. 5.
    Fang, K.T., Lin, D.K.J., Winker, P., Zhang, Y.: Uniform design: theory and applications. Technometrics 2, 237–248Google Scholar
  6. 6.
    Fang, K.T., Wang, Y.: Number-Theoretic Methods in Statistics. Chapman and Hall, London (1994)MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shi Yu
    • 1
  • Li Jianjun
    • 2
  • Fan Ding
    • 1
  • Chen Jianhong
    • 2
  1. 1.Key Laboratory of Non-ferrous Metal Alloys, The Ministry of EducationLanzhou Univ., of Tech.LanzhouChina
  2. 2.State Key Lab of Gansu New Non-ferrous Metal MaterialsLanzhou Univ. of Tech.LanzhouChina

Personalised recommendations