Model reconstruction oriented design rational knowledge granularity evaluation

Shi Kai Jing, Hong Fei Zhan*, Ji Hong Liu, Kuan Wang, Jing Tao Zhou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

To satisfy the requirements of enhancing Design Rational (DR) quantify in different abstraction level, the granularity evaluation methods of DR knowledge were researched based on DR modeling. The main characteristic of knowledge body was discriminated and structure composition factors that affected the knowledge granularity were analyzed. The granularity measurement method was established to achieve a uniform evaluation system and it could provide an objective and quantitative basis and objectives for the conversion, comparison and optimization of different granularity design rationale model. Partial design process of the bending die was taken as an example to verify the feasibility and validity of the proposed methods on the measurement and guidance for model reconstruction.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume21
Issue number1
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Design rational
  • Granularity transformation
  • Knowledge granularity
  • Knowledge network evaluation
  • Model reconstruction

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