Reasoning Model for Mechanical Product Scheme Design Based on Extensional Ontology Related Network

被引：0
作者：
Wang T. [1 ]
Hua Y. [1 ]
Qin J. [1 ]
机构：
[1] College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
来源：
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2020年 / 48卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Artificial intelligence; Conceptual design; Extension reasoning; Extensional ontology; Knowledge engineering;
D O I：
10.12141/j.issn.1000-565X.190805
中图分类号：
学科分类号：
摘要：
An extensional reasoning model for complex product scheme design based on extension ontology correlation related network was put forward to solve the extension reasoning issue of relevant constraints in complex pro-duct scheme design. Firstly, an extensional ontology model for complex product scheme design was constructed, and the relativity of extensional ontology was analyzed. Secondly, the direction of product scheme design was obtained through domain knowledge, and the extension correlation function of extension ontology features was proposed. The extensional ontology correlation network was constructed based on the information model. Then, an extension reasoning algorithm for scheme design based on extensional ontology related network was presented. The initial product design scheme meeting design requirements was obtained through multi-level grey relational clustering analysis of design direction and relational degree calculation analysis based on extensional ontology related networks. Finally, the models and the algorithms were illustrated and validated by a design case of hydro turbine. The results show that the models and the algorithms are effective and feasible. © 2020, Editorial Department, Journal of South China University of Technology. All right reserved.
引用
收藏
页码：61 / 70
页数：9
相关论文
共 19 条
  • [1] LU Yong-xiang, Adhere to scientific development and promote the historic leap of manufacturing industry, Journal of Mechanical Engineering, 43, 11, pp. 1-6, (2007)
  • [2] ZHANG S Y, XU J H, GOU H W, Et al., A research review on the key technologies of intelligent design for customized products, Engineering, 3, 5, pp. 631-640, (2017)
  • [3] YANG Tao, YANG Yu, ZHANG Dong-dong, Generation of product innovation conceptual design schemes for considering the demand preferences of customers, Computer Integrated Manufacturing Systems, 21, 4, pp. 875-884, (2015)
  • [4] ZHANG Liang, ZHANG Shu-you, LIU Xiao-jian, Et al., Reconstruction technology of configuration design for complex product based on expanded GRA and weighted sequence cross, Computer Integrated Manufacturing Systems, 21, 10, pp. 2564-2576, (2015)
  • [5] JIANG J, DING G F, ZHANG J, Et al., A systematic optimization design method for complex mechatronic products design and development, Mathematical Problems in Engineering, 2, pp. 1-14, (2018)
  • [6] NI Jin-ting, WANG Zhi-guo, LIAN Xiao-zhen, Et al., Optimization method of product design schemes based on preference information, Computer Integrated Manufacturing Systems, 25, 5, pp. 1238-1247, (2019)
  • [7] GRUHIER E, DEMOLY F, DUTARTRE O, Et al., A formal ontology-based spatiotemporal mereotopology for integrated product design and assembly sequence planning [J], Advanced Engineering Informatics, 29, 3, pp. 495-512, (2015)
  • [8] WANG Xiang-qian, ZHANG Bao-long, LI Hui-zong, Overview of ontology research, Journal of Intelligence, 35, 6, pp. 163-170, (2016)
  • [9] YE Y, YANG D, JIANG Z B, Et al., Ontology-based semantic models for supply chain management, The International Journal of Advanced Manufacturing Technology, 37, 11, pp. 1250-1260, (2008)
  • [10] CHEN Y, ZHAO M, XIE Y B, Et al., A new model of conceptual design based on scientific ontology and intentionality.theory-part I: the conceptual foundation, Design Studies, 37, pp. 12-36, (2015)
12