The Structure of Surface Texture Knowledge

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This research aims to create an intelligent knowledge-based system for engineering and bio-medical engineering surface texture, which will provide expert knowledge of surface texture to link surface function, specification of micro- and nano-geometry through manufacture, and verification. The intelligent knowledge base should be capable of incorporating knowledge from multiple sources (standards, books, experts, etc), adding new knowledge from these sources and still remain a coherent reliable system. A new data model based on category theory will be adopted to construct this system.

Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalJournal of Physics: Conference Series
Volume13
Issue number1
DOIs
Publication statusPublished - 2005

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textures
knowledge based systems
engineering
geometry
specifications

Cite this

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title = "The Structure of Surface Texture Knowledge",
abstract = "This research aims to create an intelligent knowledge-based system for engineering and bio-medical engineering surface texture, which will provide expert knowledge of surface texture to link surface function, specification of micro- and nano-geometry through manufacture, and verification. The intelligent knowledge base should be capable of incorporating knowledge from multiple sources (standards, books, experts, etc), adding new knowledge from these sources and still remain a coherent reliable system. A new data model based on category theory will be adopted to construct this system.",
author = "Xiangqian Jiang and Scott, {Paul J.} and Wang Yan",
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The Structure of Surface Texture Knowledge. / Jiang, Xiangqian; Scott, Paul J.; Yan, Wang.

In: Journal of Physics: Conference Series, Vol. 13, No. 1, 2005, p. 1-4.

Research output: Contribution to journalArticle

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