Abstract
To solve the problems of high time cost caused by the low efficiency of knowledge acquisition, this paper proposes a knowledge service framework based on case set. Three knowledge retrieval methods are designed based on parts keywords, customer orders and manufacturing processes. Additionally, a VSM-based(vetor space model) knowledge recommender method is proposed by using similarity matching algorithm to improve the efficiency of knowledge acquisition and transfer. Finally, application scenarios and evaluation of the proposed approach in a mechanical product design project are given to illustrate the application effect of knowledge service system.
Author supplied keywords
Cite
CITATION STYLE
Wu, Z., Li, L., & Liu, H. (2020). Process Knowledge Recommendation System for Mechanical Product Design. IEEE Access, 8, 112795–112804. https://doi.org/10.1109/ACCESS.2020.3002922
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.