2020 Vol.3 Jun. No.3

• Title: Construction of big data model for manufacturing structure design features of medical complex mechanical parts
• Name: Xiang-fen Ma
• Company: Guangzhou Huali Science and Technology Vocational College,China
• 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.

• Keyword: Complex mechanical parts; Manufacturing structure design; Feature model construction; Data parameter import;
• DOI: 10.12250/jpciams2020030107
• Citation form: Xiang-fen Ma.Construction of big data model for manufacturing structure design features of medical complex mechanical parts[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 24-29.

[1] Chenpeng , Liufei , Ningjunfeng. Multi-objective monitoring integrated model of machining automatic production line and its application[J]. Computer Integrated Manufacturing Systems, 2017, 23(3):473-481.
[2] Wuweihui , Xiaodongming , Maoxing . Automatic ultra-light structural design and laser additive manufacturing of metal parts [J]. Infrared and Laser Engineering, 2016, 009(11):124-131.
[3] Wanghonghui , Liuriliang , Zhangchengrui . Design and implementation of workshop reconfigurable automatic programming system based on processing features[J]. Computer Integrated Manufacturing Systems, 2016, 22(10):2396-2407.
[4] Zhoulirong , Lifangyi , Lijianfeng , etc. Energy Consumption Correlation Modeling of Mechanical Product Manufacturing Based on Design Features[J]. Computer Integrated Manufacturing Systems. 2016, 22(4):1037-1045.
[5] Huangbinda , Zhoulaishui , Anluling ,etc. Variant design method for machining and aero-engine parts driven by process model[J]. Journal of Aeronautics, 2017, 38(1):290-304.
[6] Songshouxu , Bojian , Keqingdi . Active Remanufacturing Design and Timing Control Method of Centrifugal Compressor Impeller[J]. China Mechanical Engineering, 2017, 28(15):1862-1869.
[7] Songshouxu , Wangwei , Keqingdi . Active Remanufacturing Design Based on Structural Function Derived Coefficients[J]. Journal of Mechanical Engineering, 2017, 53(11):175-183.
[8] Shaoli, Zhangshusheng , Baixiaoliang ,etc. Three-Dimensional Process Model Construction Method for Milling Parts[J]. Machinery Science and Technology, 2016, 35(8):1297-1301.
[9] Zhangkaixing , Hangchengyu , Zhaoxiuyan , etc . A 3D CAD Model Local Structure Retrieval Method for Design Reuse[J]. Journal of Agricultural Machinery, 2017, 48(7):405-412.
[10] Wangkang , Zhangshusheng , Heweiping, etc. SPEA2-based selection and assembly method for complex mechanical products[J]. Journal of Shanghai Jiaotong University, 2016, 50(7):1047-1053.