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Knowledge-Guided NURBS for Robust Engineering Design

Knowledge-Guided NURBS for Robust Engineering Design
用于稳健工程设计的知识引导 NURBS
批准号:
0758231
负责人:
Leslie Piegl
金额:
$25.97万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-06-15 至 2011-05-31

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中文摘要
翻译
知识引导的非均匀有理B样条曲线在工程设计中的应用摘要本研究的目的是研究知识引导的非均匀有理B样条曲线,以提高工程设计系统的鲁棒性、可靠性和兼容性。随着产品和流程设计变得更加知识密集和协作,有必要提供尽可能多的信息,以帮助那些在地理位置不同的地方工作的设计师。工程设计中的错误通常是由于无法在各种CAD系统之间共享完整的设计信息(包括几何图形)而发生的。这项研究将产生一个基于WebGIS的建模环境,这将有助于强大和无缝的知识和数据传输。我们的目标是将设计知识直接嵌入几何模型,并在整个设计过程中使用它。设计意图将在最低级别的几何构造中捕获并纳入模型中?的知识基础。CAD系统的稳健性将通过为使用知识类型而不是数据类型的计算算法提供知识支持来增强。当成功时,一种称为知识引导的NURBS的新设计范式将被引入设计界。这项研究将导致改进的支持协同设计与无缝的数据传输在各个层面上,从过程到过程,系统到系统。这些方法将改变工程设计和设计系统之间的通信方式,并在一系列应用中实现更高水平的工程设计系统的可靠性。研究结果将纳入课程,并通过档案出版物和技术会议上的介绍加以传播。与工业界的密切合作将在整个赠款期间提供持续的研究指导和结果验证。高中高年级学生的暑期课程和邻近高中的客座讲座将提供向不同学生群体传播的机会。
英文摘要
Knowledge-guided NURBS for Robust Engineering DesignAbstractThe objective of this research is to investigate knowledge-guided NURBS to enhance the robustness, the reliability and the compatibility of engineering design systems. As product and process design becomes more knowledge intensive and collaborative, it is necessary to provide as much information as possible to assist designers who work in geographically diverse locations separated by cultural boundaries. Errors in engineering design often occur due to the inability to share complete design information, including geometry, across various CAD systems. This research will result in a NURBS-based modeling environment that will facilitate robust and seamless knowledge and data transfer. The goal will be to embed design knowledge directly into the geometric model and use it throughout the design process. Design intent will be captured at the lowest level of geometry construction and incorporated into the model?s knowledge base. The robustness of CAD systems will be enhanced by providing knowledge support to computational algorithms that work with knowledge types instead of data types.When successful, a new design paradigm, called knowledge-guided NURBS, will be introduced to the design community. This research will result in improved support for collaborative design with seamless data transfer at all levels, from process to process, and systems to system. The methods will change the way engineering design and communication between design systems are performed, and achieve a significantly higher level of reliability of engineering design systems across a range of applications. The research findings will be integrated into curricula and disseminated through archival publications and presentations at technical meetings. Close collaboration with industry will provide continued research guidance and validation of the results throughout the grant period. Summer programs for high school seniors and guest lectures to neighboring high schools will provide the opportunity for dissemination to diverse student groups.
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Data Fitting for Reverse Engineering
  • 批准号:
    0200385
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $33.29万
  • 财政年份:
    2002
  • 负责人:
    Leslie Piegl
  • 依托单位:
GOALI/IUCP: Algorithmic Approach to Processing Geometry Represented in Non-Uniform Rational B-Splines (NURBS) Form
  • 批准号:
    9526119
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $24.1万
  • 财政年份:
    1996
  • 负责人:
    Leslie Piegl
  • 依托单位:
Surface-Surface Intersection for Solid Modeling via Computerized Descriptive Geometry
  • 批准号:
    9217768
  • 项目类别:
    Standard Grant
  • 资助金额:
    $6.06万
  • 财政年份:
    1993
  • 负责人:
    Leslie Piegl
  • 依托单位:
海外基金