MRI: Acquisition of a Laser Sensor, Computer Workstations and a 3D SynthaGram Monitor for Research in Virtual Engineering

这笔赠款用于购买LDI三坐标测量机激光扫描探头套件、六台惠普高端双处理器工作站和一台40英寸无眼镜3D显示器(SynthaGram 404)，用于密歇根大学迪尔伯恩分校(UM-D)的多学科制造相关研究。所要求的仪器将构成新的虚拟工程实验室的基本基础设施，并将支持正在进行的虚拟工程研究活动，包括对已制造部件的准确测量或获取、损坏部件的表面质量检查和再工程、断裂和损坏的模拟、制造过程分析、智能工程诊断和基于视觉的检查或识别。这些研究的主要目标是通过有效利用将获得的极其强大的传感器、计算机和可视化设备，开发创新的算法，以满足制造社会对高精度和自动化的日益增长的需求。正在进行的研究活动的成果将导致：1)用安装在坐标测量机(CMM)上的激光传感器取代触摸探头的潜在突破；2)板材成形的虚拟表面质量评估系统；3)破损零件的翻新和再工程系统；4)基于视觉的智能检测和识别系统；以及5)用于工程诊断的模糊学习。正在进行的研究还将有助于通过所需的计算机和可视化设备来模拟焊料合金的疲劳寿命，并了解金属成形中从局部缩颈到断裂的变形行为。所要求的工具将大大加强密歇根州立大学--一个非授予博士学位的机构的研究基础设施，还将通过学生设计项目和研究培训显著提高密歇根大学-密歇根大学的教育质量。社区外展将激发高中生对科学和工程的兴趣，并扩大迪尔伯恩和底特律社区中代表不足的黑人少数民族和女性学生的参与。

This grant provides support for the acquisition of a LDI CMM laser scanning probe kit, a cluster of six HP high-end dual-processor workstations and a 40'' glasses-free 3D monitor (SynthaGram 404) for multidisciplinary manufacturing-related research at the University of Michigan - Dearborn (UM-D). The requested instruments will form a fundamental infrastructure of a new virtual engineering laboratory, and will support ongoing research activities in virtual engineering, including accurate measurement or acquisition of manufactured parts, surface quality inspection and reengineering of broken parts, simulation of fracture and damage, analysis of manufacturing processes, intelligent engineering diagnosis and vision-based inspection or recognition. The main objective of these studies is to develop innovative algorithms for meeting the manufacturing society's growing demands for high accuracy and automation by making effective use of the extremely powerful sensor, computers and visualization device to be acquired. The outcome of the ongoing research activities will lead to: 1) a potential breakthrough in replacing touch probes with laser sensors mounted to coordinate measurement machines (CMMs); 2) a virtual surface quality evaluation system for sheet metal forming; 3) a refurbishing and reengineering system for broken parts; 4) an intelligent vision-based system for inspection and recognition; and 5) fuzzy learning for engineering diagnosis. The ongoing research will also contribute to the modeling of fatigue life of solder alloys and the understanding of deformation behavior from localized necking to fracture in metal forming by means of the requested computers and visualization device. The requested instruments will substantially strengthen the research infrastructure at UM-D, a non-Ph.D. granting institute, and will also significantly improve the education quality at UM-D through student design projects and research training. The community outreaching will inspire high-school students' interest in science and engineering, and broaden the participation of underrepresented black minority and female students in Dearborn and Detroit communities.