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ALCOA技术中心之间的一个GOALI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的分布式环境中完成：（1）福特汽车公司，迪尔伯恩，密歇根州;（2）ALCOA技术中心，匹兹堡，宾夕法尼亚州;和（3）威斯康星州大学，麦迪逊，威斯康星州。将利用与互联网有关的技术实现研究的同步性和适当程度的合作。研究生实习网站的重点是研究和开发的特征识别和后续分解这些形状成更简单的形状，以支持自动有限元网格生成。 与为复杂形状创建网格相比，为简单形状创建网格并将它们组合在一起更容易，并且可以生成更好的网格。 在本研究中，这些更简单的形状被称为BLOBS（基本逻辑块）。 BLOBS表示对象必须分解成的基本元素。 该项目将导致一个系统的方法，用于将形状特征分解成BLOB和创建BLOB树，该BLOB树可用于对网格的生成进行排序，以高效生成高质量的网格，而不仅仅是有限元网格生成。 这个项目，如果成功的话，将教育学生的价值和需求的工业研究领域的形状分解网格生成。通过这种技术和方法的交流，工业界将了解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。

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.