Development of new techniques for high-speed and high-accuracy industrial part metrology

高速高精度工业零件计量新技术的开发

• 批准号: 521388-2018
• 负责人: Sun, Yu
• 金额: $ 11.22万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=697184
• 关键词: Development; new; techniques; speed; accuracy

Parts metrology is critical for quality control in the manufacturing industry, and its market capacity reached US$465 billion in 2016. Automotive part manufacturers-including KIRCHHOFF Automotive, one of the two supporting organizations for this project-have dramatically raised their part quality control standards to stay competitive. The geometry of every part must be accurately measured to ensure correct dimensions and perfect fit with increasingly tight tolerances. State-of-the-art 3D measurement systems (e.g., Gocator scanners from our other supporting organization, LMI Technologies) have been applied and tested on parts manufactured by KIRCHHOFF Automotive. Unfortunately, these measurement techniques and systems are slow (~5 frames per second, fps). For large parts (e.g., 2-meter-long cross car beams), it takes more than 90 seconds to inspect ~100 features (i.e., dimensions of edges, holes, presence of the clippers, etc.) with commercial 3D scanners and image processing software. Furthermore, these measurement systems also have poor accuracy for parts with significant variations in reflectance, large curvatures, and large depths. The automotive industry and the broader manufacturing industry demand new technologies for high-speed and high-accuracy 3D shape part metrology. This project aims to develop new techniques and an instrument prototype for 3D measurement of industrial parts with better performance than existing 3D part metrology systems. This project has three specific objectives: (1) to develop a new hardware/scanner prototype for generating adaptively varied curved patterns and project structured light with varying intensities; (2) to develop new phase-based measurement techniques for part inspection/metrology; and (3) to evaluate the performance of the system by performing measurements on industrial parts with a high speed (>50 fps vs. 5 fps in state-of-the-art), and high accuracy (2% vs. 15% in state-of-the-art for parts with large curvatures and significant reflectance variations).

零部件计量对制造业的质量控制至关重要，2016年其市场容量达到4650亿美元。汽车零部件制造商--包括支持该项目的两个组织之一的Kirchhoff Automotive--已经大幅提高了零部件质量控制标准，以保持竞争力。每个零件的几何尺寸必须精确测量，以确保正确的尺寸和与日益严格的公差完美匹配。最先进的3D测量系统(例如，我们另一个支持组织LMI Technologies的Gocator扫描仪)已在Kirchhoff Automotive制造的部件上进行了应用和测试。不幸的是，这些测量技术和系统速度很慢(~5帧每秒，fps)。对于较大的零件(例如，2米长的横梁)，需要90秒以上的时间来检查~100个特征(即边缘、孔的尺寸、是否有剪刀等)。配备商用3D扫描仪和图像处理软件。此外，这些测量系统对于反射率变化较大、曲率较大和深度较大的零件的精度也较差。汽车工业和更广泛的制造业需要高速和高精度的3D形状零件计量的新技术。 该项目旨在开发一种新的技术和仪器原型，用于工业零件的三维测量，其性能优于现有的三维零件计量系统。该项目有三个具体目标：(1)开发一种新的硬件/扫描仪原型，用于生成自适应变化的曲线图案和投射不同强度的结构光；(2)开发新的基于相位的测量技术，用于零件检测/计量；以及(3)通过对工业零件进行高速(50fps对最先进的5fps)和高精度(对大曲率和显著反射率变化的零件进行高精度(2%对15%)的测量来评估系统的性能)。