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Construction of Design Characteristics Model of Manufacturing Structures for Complex Mechanical Parts

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Advanced Hybrid Information Processing (ADHIP 2018)

Abstract

Traditional mechanical parts manufacturing structure design feature model can more complete mechanical parts structure design feature extracting, but for complex mechanical parts for structural design feature extraction, feature extraction error rates higher deficiencies, this proposed complex mechanical parts manufacturing characteristic model building structure design. Based on the ADO.NET structure, the design platform of complex mechanical parts manufacturing structure is built, the constraint equation of feature model is determined, and the framework of complex mechanical parts manufacturing structure design feature model is constructed. The feature model function of design structure design is designed, and the embedding of complex mechanical structure design software is realized by using XTF embedding technology, and the construction of complex mechanical parts manufacturing structure design feature model is completed. The experimental data show that the proposed complex feature model is 14.24% lower than the traditional model, and is suitable for the application of complex mechanical parts manufacturing structure design characteristics.

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Correspondence to Yunsheng Chen .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, Y. (2019). Construction of Design Characteristics Model of Manufacturing Structures for Complex Mechanical Parts. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_31

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  • DOI: https://doi.org/10.1007/978-3-030-19086-6_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19085-9

  • Online ISBN: 978-3-030-19086-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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