Abstract
In the welding and assembling process planning for body-in-white, case retrieval can make full use of the existing knowledge and the experience of experts. Firstly, considering primary features, secondary features, and feature relations, a comprehensive feature model for parts is established. Secondly, a three-stage search strategy is implemented to calculate the similarities between a new part and old cases. Topological feature, geometric feature, and material feature similarities are calculated respectively in different stages. Corresponding thresholds are set to reduce the search space of next stage. This layered searching strategy can improve retrieval efficiency. Finally, a case study indicates the effectiveness of this methodology.
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Yongsheng, C., Haijiang, L. Feature model and case retrieval for body-in-white part. Int J Adv Manuf Technol 54, 231–237 (2011). https://doi.org/10.1007/s00170-010-2910-1
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DOI: https://doi.org/10.1007/s00170-010-2910-1