Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-030-19086-6_31,
        author={Yunsheng Chen},
        title={Construction of Design Characteristics Model of Manufacturing Structures for Complex Mechanical Parts},
        proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
        proceedings_a={ADHIP},
        year={2019},
        month={5},
        keywords={Complex mechanical parts Manufacturing structure design Feature model construction Data parameter import},
        doi={10.1007/978-3-030-19086-6_31}
    }
    
  • Yunsheng Chen
    Year: 2019
    Construction of Design Characteristics Model of Manufacturing Structures for Complex Mechanical Parts
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-19086-6_31
Yunsheng Chen1,*
  • 1: Guangzhou Huali Science and Technology Vocational College
*Contact email: chen12yunsheng@sina.com

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.