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Model Optimization of Artificial Neural Networks for Performance Predicting in Spot Welding of the Body Galvanized DP Steel Sheets,

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Advances in Natural Computation (ICNC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4221))

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Abstract

This paper focused on the performance predicting problems in the spot welding of the body galvanized DP steel sheets. Artificial neural networks (ANN) were used to describe the mapping relationship between welding parameters and welding quality. After analyzing the limitation existed in standard BP networks, the original model was optimized based on lots of experiments. Lots of experimental data about welding parameters and corresponding spot weld quality were provided to the ANN for study. The results showed that the improved BP model can predict the influence of welding currents on nugget diameters, weld indentation and the shear loads ratio of spot welds. The forecasting precision was so high that can satisfy the practical need of engineering and have some application value.

The subject is sponsored by the National Natural Science Foundation of China. (NSFC, NO 50575140)

The subject is also sponsored by the Specialized Research Fund for the Doctoral Program of Higher Education. (SRFDP, NO 20050248028)

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References

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Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China

    Xin Zhao, Yansong Zhang & Guanlong Chen

Authors
  1. Xin Zhao
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  2. Yansong Zhang
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  3. Guanlong Chen
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Editor information

Editors and Affiliations

  1. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  3. School of Electronic Engineering, Xidian Univ., 710071, Xi’an, P.R. China

    Xin-bo Gao

  4. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

  5. Multi-Agent Systems Lab,Department of Computer Science, University of Science and Technology of China, 230026, Hefei, China

    Feng Wu

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhao, X., Zhang, Y., Chen, G. (2006). Model Optimization of Artificial Neural Networks for Performance Predicting in Spot Welding of the Body Galvanized DP Steel Sheets, . In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_82

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  • DOI: https://doi.org/10.1007/11881070_82

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45901-9

  • Online ISBN: 978-3-540-45902-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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