Knowledge-Guided NURBS for Robust Engineering Design
Knowledge-Guided NURBS for Robust Engineering Design
批准号:
0758231
负责人:
Leslie Piegl
金额:
$25.97万
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
中文摘要
知识制导NURBS用于稳健工程设计摘要本研究的目的是研究知识制导NURBS,以提高工程设计系统的健壮性、可靠性和兼容性。随着产品和工艺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来帮助在不同地理位置工作的设计师,这些地点被文化边界隔开。工程设计中的错误通常是由于不能在各种CAD系统之间共享包括几何图形在内的完整设计信息而导致的。这项研究将产生一个基于NURBS的建模环境,该环境将促进健壮和无缝的知识和数据传输。目标是将设计知识直接嵌入几何模型中,并在整个设计过程中使用它。设计意图将在几何结构的最低层被捕获,并纳入模型-S知识库。通过为处理知识类型而不是数据类型的计算算法提供知识支持,CAD系统的健壮性将得到增强。当成功时,一种新的设计范例将被引入设计界,称为知识制导的NURBS。这项研究将改善对协作设计的支持,在所有级别、从流程到流程、从系统到系统的无缝数据传输。这些方法将改变工程设计和设计系统之间沟通的方式,并在一系列应用中实现工程设计系统的显著更高水平的可靠性。研究结果将纳入课程,并通过档案出版物和在技术会议上的介绍加以传播。与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。高三学生的暑期计划和邻近高中的客座讲座将为不同的学生群体提供传播的机会。
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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