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A knowledge-based intelligent system for surface texture (virtual surf)

Wang, Yan (2008) A knowledge-based intelligent system for surface texture (virtual surf). Doctoral thesis, University of Huddersfield.

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    Abstract

    The presented thesis documents the investigation and development of the mathematical
    foundations for a novel knowledge-based system for surface texture (VitualSurf
    system). This is the first time that this type of novel knowledge-based system has been
    tried on surface texture knowledge. It is important to realize that surface texture
    knowledge, based on new generation Geometrical Product Specification (GPS) system,
    are considered to be too theoretical, abstract, complex and over-elaborate. Also it is not
    easy for industry to understand and implement them efficiently in a short time.

    The VirtualSurf has been developed to link surface function, specification through
    manufacture and verification, and provide a universal platform for engineers in
    industry, making it easier for them to understand and use the latest surface texture
    knowledge. 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. In this
    research, an object-relationship data model is developed to represent surface texture
    knowledge. The object-relationship data model generalises the relational and object
    orientated data models. It has both the flexibility of structures for entities and also good
    mathematical foundations, based on category theory, that ensures the knowledge-base
    remains a coherent and reliable system as new knowledge is added.

    This prototype system leaves much potential for further work. Based on the framework
    and data models developed in this thesis, the system will be developed into
    implemental software, either acting as a good training tool for new and less
    experienced engineers or further connecting with other analysis software, CAD
    software (design), surface instrument software (measurement) etc, and finally applied
    in production industries.

    Item Type: Thesis (Doctoral)
    Subjects: T Technology > T Technology (General)
    Q Science > QA Mathematics > QA76 Computer software
    Schools: School of Computing and Engineering
    Depositing User: Pat Whitworth
    Date Deposited: 16 Feb 2010 11:48
    Last Modified: 28 Jul 2010 19:53
    URI: http://eprints.hud.ac.uk/id/eprint/6956

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