Integrated Inspection System for Digital Manufacturing

数字化制造集成检测系统

• 批准号: RGPIN-2019-07037
• 负责人: Barari, Ahmad
• 金额: $ 2.33万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=684303
• 关键词: Integrated; Inspection; System; Digital; Manufacturing

We are at the stage of the fourth industrial revolution when by connecting machines, workpieces, and systems, smart manufacturing networks are created to control themselves intelligently. The core requirement in this network is a digital manufacturing platform with full data integration. A valuable source of high quality data in the digital manufacturing systems is the inspection process. Inspection of the product at various production stages not only investigate the product's quality, but also provides knowledge regarding the production health. The new generation of inspection systems is urgently needed to support various levels of digital manufacturing systems in which the cyber and the physical components are tightly integrated at various scales and levels as a Cyber-Physical System (CPS). ***The foundation of Integrated Inspection System (IIS) has been developed during a productive NSERC Discovery research program to provide an architecture for coordinate metrology's CPS. The sequential performance of three cyber tasks of Point Measurement Planning (PMP), Substitute Geometry Estimation (SGE), and Deviation Zone Evaluation (DZE) in traditional coordinate metrology was successfully revised to closed-loops of tasks in IIS. The developed novel methodologies in IIS are highly efficient solutions to improve reliability, and to combat the inherent uncertainties in coordinate metrology. In a typical IIS, an estimation of geometric deviations by DZE is dynamically utilized by PMP to revise the set of data-points captured from the measuring surfaces. As the set of the discrete measured points change, estimation of the optimum fitting geometry by SGE will be revised accordingly. Moreover, the only output of DZE is not the part acceptance or rejection based on its conformance to tolerances. Instead, the DZE produces a detailed deviation zone of the manufactured surface by constructing a skin model from the discrete data points. The core concept in this program is “to eliminate the waste of reach Inspection Data” in digital manufacturing systems with the ultimate objective of “Zero Defect Production”. Having the above mentioned characteristics, IIS is a perfect candidate to be the legitimate inspection system in a digital manufacturing environment, and an ideal choice for Industry 4.0 implementation. ***The integrated inspection system as described above is an urgent need for any digital manufacturing system. This will have a significant impact on the economic outcome of the manufacturing industry in Canada and fosters Industry 4.0 concepts. Therefore, investments in new manufacturing technologies and related jobs are expected. This research program develops highly beneficial knowledge and skills for Canada's future Manufacturing, it has a direct impact on training of Highly Qualified Personnel (HQP) to be the leaders in Canada's future digital manufacturing, inspection, and digital metrology industries, and results in welfare of the Canadian Society. *****

我们正处于第四次工业革命的阶段，当时通过连接机器，工件和系统，创建了智能制造网络，以智能地控制自己。该网络中的核心要求是一个具有完整数据集成的数字制造平台。数字制造系统中高质量数据的宝贵来源是检查过程。在各个生产阶段检查产品不仅研究产品的质量，而且还提供了有关生产健康的知识。迫切需要新一代的检查系统来支持各种水平的数字制造系统，在这些系统中，网络和物理组件作为网络物理系统（CPS）在各种规模和水平上紧密整合。 ***综合检查系统（IIS）的基础是在一项生产性NSERC发现研究计划中开发的，旨在为协调计量学的CPS提供体系结构。在传统坐标计量学中，三个网络测量计划（PMP），替代几何估计（SGE）和偏差区评估（DZE）的顺序性能成功地修改为IIS中的任务的闭环。 IIS中开发的新方法是提高可靠性的高效解决方案，并打击了坐标坐标的坐标计量学。在典型的IIS中，PMP动态利用DZE对几何偏差的估计来修改从测量表面捕获的数据点集。随着离散测量点的一组变化，将相应修改SGE最佳拟合几何形状的估计。此外，DZE的唯一输出不是基于其对公差的一致性的部分接受或拒绝。取而代之的是，DZE通过从离散数据点构建皮肤模型来产生制造表面的详细偏差区。该计划中的核心概念是“消除数字制造系统中的浪费范围检查数据”，其最终目标是“零缺陷生产”。具有上述特征，IIS是在数字制造环境中成为合法检查系统的理想选择，也是行业4.0实施的理想选择。 ***如上所述的集成检查系统迫切需要任何数字制造系统。这将对加拿大制造业的经济成果产生重大影响，并促进行业4.0概念。因此，预计将投资于新的制造技术和相关工作。该研究计划为加拿大未来的制造业开发了非常有益的知识和技能，它直接影响了对高素质人员（HQP）的培训，成为加拿大未来数字制造，检查和数字计量行业的领导者，并导致加拿大社会的福利。 *****