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

这笔赠款为威斯康星大学麦迪逊分校、福特汽车公司和美国铝业技术中心之间的一个GOALI项目提供资金，以建立一个研究生培训地点。该项目在三个地点进行：(1)密歇根州迪尔伯恩的福特汽车公司；(2)宾夕法尼亚州匹兹堡的美国铝业技术中心；(3)威斯康星大学麦迪逊分校。与互联网有关的技术将用于实现研究的同步性和充分的协作水平。研究生培训网站专注于特征识别的研究和开发，并随后将这些形状分解为更简单的形状，以支持有限元网格的自动生成。与为复杂形状创建网格相比，为较简单的形状创建网格并将其合并会更容易并产生更好的网格。在本研究中，这些较简单的形状被称为斑点(基本逻辑整体形状)。斑点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，将形状特征分解成斑点，并创建斑点树，该斑点树可用于对网格的生成进行排序，以便高效地生成高质量的网格，而不仅仅是有限元网格的生成。这个项目如果成功，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，产业界将了解到学术研究的制约因素以及影响大学研究的机会。最后，由于大学和产业的合作，该项目将创建一条将大学研究的技术转移到公司环境中的渠道。

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.