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Concept design of checking fixture for auto-body parts based on neural networks

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Abstract

The concept design of checking fixtures for auto-body parts is a highly complex process that requires a human designer to draw from his rich experience. By exploiting recent advances in CAD/CAM and artificial intelligence techniques, one may constrain multiple solutions such that only good designs are considered. In this paper, a method of selecting type for checking fixtures is proposed that harnesses advantages of neural networks. This method attempts to capture relevant domain knowledge and is used to produce acceptable solutions. The method is applied to a case problem and the suggested checking fixture type is compared to one offered by a human designer. The agreement between the two solutions is very close.

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Abbreviations

STNNCF:

Selecting type neural networks for checking fixture

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Authors and Affiliations

  1. Department of Engineering, Laiyang Agricultural College, 265200, Laiyang, Shandong Province, China

    Hu Cai-qi

  2. Department of Mechanical Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Lin Zhong-qin & Lai Xin-min

Authors
  1. Hu Cai-qi
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  2. Lin Zhong-qin
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  3. Lai Xin-min
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Corresponding author

Correspondence to Hu Cai-qi.

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Cai-qi, H., Zhong-qin, L. & Xin-min, L. Concept design of checking fixture for auto-body parts based on neural networks. Int J Adv Manuf Technol 30, 574–577 (2006). https://doi.org/10.1007/s00170-005-0039-4

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  • DOI: https://doi.org/10.1007/s00170-005-0039-4

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