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GOALI: Feature Extraction for Mesh Generation in Virtual Prototyping: A Distributed Industrial Traineeship Site

GOALI: Feature Extraction for Mesh Generation in Virtual Prototyping: A Distributed Industrial Traineeship Site
GOALI:虚拟样机中网格生成的特征提取:分布式工业实习站点
批准号:
9708531
负责人:
Rajit Gadh
金额:
$9.98万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-08-01 至 1999-07-31

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中文摘要
翻译
这笔拨款为威斯康星大学麦迪逊分校、福特汽车公司和美国铝业公司技术中心之间的一个目标项目提供资金,以建立一个研究生实习地点。该项目在三个地点之间进行分布式设置:(1)密歇根州迪尔伯恩的福特汽车公司;(2)美国铝业技术中心,宾夕法尼亚州匹兹堡;(3)威斯康辛大学麦迪逊分校。互联网相关技术将用于实现研究的同步性和适当水平的合作。研究生培训网站的重点是研究和开发特征识别,并随后将这些形状分解为更简单的形状,以支持自动有限元网格生成。为更简单的形状创建网格并组合它们比为复杂的形状创建网格更容易,也更容易产生更好的网格。在目前的研究中,这些简单的形状被称为BLOBS(基本逻辑块形状)。blob表示对象必须分解成的基本元素。该项目将产生一种系统的方法,用于将形状特征分解为BLOB,并创建BLOB树,该树可用于对网格的生成进行排序,以高效生成和高质量的网格,超越有限元网格生成。这个项目,如果成功的话,将教育学生在网格生成的形状分解领域的工业研究的价值和需求。通过这种技术和方法的交流,工业界将了解学术研究的局限性,并有机会影响大学的研究。最后,由于大学与产业的合作,该项目将为大学研究的技术转移到公司环境中创造一个渠道。
英文摘要
This grant provides funding for a GOALI project between the University of Wisconsin-Madison, Ford Motor Company and ALCOA Technical Center to establish a graduate student traineeship site. The project is done in a distributed setting between three locations: (1) Ford Motor Company, Dearborn, MI; (2) ALCOA Technical Center, Pittsburgh, PA; and (3) University of Wisconsin, Madison, WI. Internet-related technologies will be used for achieving synchronicity in research and adequate levels of collaboration. The graduate student traineeship site is focused on research and development of feature recognition and subsequent decomposition of such shapes into simpler shapes to support automatic finite element mesh generation. Creating meshes for simpler shapes and combining them is easier and results in better meshes than creating meshes for complex shapes. In the present research, these simpler shapes are called BLOBS (Basic Logical Bulk Shapes). BLOBS represent the basic elements into which an object must be decomposed. This project will result in a systematic methodology for decomposing a shape feature into BLOBS and the creation of a BLOB tree which can be used to sequence the generation of the mesh for efficiently generated and high quality meshes go beyond finite element mesh generation. This project, if successful, will educate the students about the value and needs of industrial research in the field of shape decomposition for mesh generation. By this technological and methodological exchange, industry will learn the constraints of academic research as well as the opportunity to influence university research. Finally, due to the university-industry collaboration, this project will create a conduit for technology transfer of university research into a company environment.
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