Multiple Sensor Integration for Rapid Surface Digitization and Agile Metrology of High Precision Engineered Mechanical Components

多传感器集成，用于高精度工程机械部件的快速表面数字化和敏捷计量

• 批准号: 9713768
• 负责人: Chia-Hsiang Menq
• 金额: $ 30.5万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 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
• 起止时间: 1997-10-01 至 2002-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9713768&HistoricalAwards=false
• 关键词: Multiple; Sensor; Integration; Rapid; Surface

This grant provides funding for the development of an integrated framework that supports information integration of multiple sensors for rapid surface digitization and agile metrology of high precision engineered mechanical components. The objective is to develop an information integration technology that facilitates rapid acquisition of high precision coordinate data, and to demonstrate the developed technology using an integrated system. This integrated system consists of a high precision coordinate measuring machine, a motorized probe, a high speed laser scanner, and a 3D vision system. An intelligent information aggregation module for sensor fusion and feature recognition will be developed. In this module, high level geometric abstractions will be extracted from discrete coordinates. When CAD models are unavailable, the resulting geometric abstractions form a preliminary description of the surface geometry and feature topology of an unknown object. The obtained information is subsequently used to guide the laser scanner and/or the contact probe for high speed coordinate data acquisition and to strategically control the coordinate measuring machine for high precision/rapid sampling of critical surface areas. By integrating the developed technology with the state of the art equipment, a highly automated, high speed, high precision, 3D coordinate acquisition system will be developed. Rapid acquisition of high precision coordinate data from parts having complex geometry has many applications. Typical examples include part localization and automatic calibration in inspection and agile machining, coordinate metrology in dimensional control, and reverse engineering in rapid product design and realization. The primary goal of this work is to develop the required knowledge and technology that support multi-sensor integration and information automation in the context of rapid surface digitization and agile metrology. If successful, the results of this research will lead to significant improvements in sensor integration and precision metrology. It will have potential applications in a whole spectrum of manufacturing problems with a major impact on metrology, inspection, and reverse engineering.

该赠款为开发一个集成框架提供资金，该框架支持多个传感器的信息集成，以实现高精度工程机械部件的快速表面数字化和敏捷计量。 目的是开发一种信息集成技术，便于快速获取高精度的坐标数据，并使用集成系统演示开发的技术。 该集成系统由高精度坐标测量机、电动测头、高速激光扫描仪和三维视觉系统组成。 将开发用于传感器融合和特征识别的智能信息聚合模块。 在这个模块中，高层次的几何抽象将从离散坐标中提取。 当CAD模型不可用时，所得到的几何抽象形成未知对象的表面几何和特征拓扑的初步描述。所获得的信息随后用于引导激光扫描仪和/或接触探针以进行高速坐标数据采集，并策略性地控制坐标测量机以进行关键表面区域的高精度/快速采样。 通过将开发的技术与最先进的设备相结合，将开发高度自动化、高速、高精度的三维坐标采集系统。 从具有复杂几何形状的零件快速获取高精度坐标数据具有许多应用。 典型的例子包括检测和敏捷加工中的零件定位和自动校准，尺寸控制中的坐标测量，以及快速产品设计和实现中的逆向工程。 这项工作的主要目标是开发所需的知识和技术，以支持快速表面数字化和敏捷计量背景下的多传感器集成和信息自动化。 如果成功，这项研究的结果将导致传感器集成和精密计量的显着改进。 它将有潜在的应用在整个频谱的制造问题，对计量，检测和逆向工程的重大影响。