Metrology and measurement data evaluation for the geometrical product verification within a holistic tolerance management

FOR 2271研究小组正在从基础研究的角度研究如何设计一种整体方法和有效的工具来管理产品开发过程中的几何偏差。使用模型工厂的研究结果进行了验证。子项目3通过确定形状偏差和相关的测量不确定度以及在面向功能的公差规范中使用这些信息来参与研究组。在第一个供资阶段，该分项目的目的是制定适当的办法，利用各种触觉、光学和断层摄影测量方法，为给定的测量数据提供相关的单点不确定性。在此基础上，提出了系统性形状偏差的描述和修正方法。设计了以SPU为加权因子的融合和回归算法。这些贡献与提供偏差表示的SPU和提供单个特征的不确定性以及验证演示器的安装相结合，补充了子项目对研究小组的投入。在第二个供资阶段，将优化测量链上沿着必要的数据处理操作，目的是减少在第二个供资阶段与每次测量相关的测量不确定性。公差工件形状偏差的确定。在这里，更复杂的算法将被用来产生可利用的信息产量，而大幅增加的计算需求将由GPGPU编程技术的后续实施来补偿。几何特征的测量不确定性的降低通常使得能够定义更小的公差。计划中的项目还包括对齿面形貌的重新检查，测量预期磨损对公差规范的影响。此外，将研究旨在优化用于测量数据对标称和参考数据的加权几何配准的算法的方法。因此，将表征并减少配准例程对数据处理的影响以及因此容许几何元素的局部测量不确定性。在与项目合作的集体努力中，将检查几何元素SPU确定到边缘区域的可转移性，以评估由此发生的测量不确定性对相关公差规范的影响。这种合作将通过X射线孔径测试台机械部件的标准化几何特征来补充。

The research group FOR 2271 is investigating from a fundamental research point of view, how a holistic approach and efficient tools for the management of geometric deviations during product development needs to be designed. The findings are verified using a model factory. The subproject 3 participates in the research group by the determination the form deviations and the associated measurement uncertainty as well as the usage of this information within a function-oriented tolerance specification. During the first funding phase, the subproject aimed at developing suitable approaches to provide the associated single point uncertainties (SPU) for given measurement data, using various tactile, optical and tomographic measurement methods. Based on these findings, methods for the description and correction of the systematic form deviations were developed. Furthermore, fusion and regression algorithms considering the SPU as weighting factors were designed. These contributions combined with the provision of the SPU of the deviation representation and the supply of the uncertainty of single features as well as the metrological set-up for validating the demonstrator complement the input of the subproject towards the research group.Based on the knowledge gained during the first funding phase, necessary data processing operations along the measurement chain will be optimized during the second funding phase with the aim of reducing the measurement uncertainty associated with every measurement during the determination of the form deviations of tolerated work pieces. Here, algorithms that are more complex will be used to generate an exploitable information yield, while the substantially increased resulting computational demand will be compensated by the consequent implementation of GPGPU-programing techniques. A reduction of the measurement uncertainty of the geometric characterisation usually enables the possibility of defining smaller tolerances. The planned project also includes metrological examinations of tooth flanks topography measurements of the influence of the expected wear and tear onto the tolerance specification. Additionally, approaches aimed at optimising the algorithms used for the weighted geometric registration of measurement data against nominal and reference data will be examined. Thus, the influence of the registration routine on the data processing and consequently the local measurement uncertainty of tolerated geometry elements will be characterised and reduced. Within a collective effort with the project collaborates, the transferability of the determination of the SPU of geometry elements onto edge regions will be examined in order to assess the influence of the hereby occurring measurement uncertainty on the associated tolerance specification. The cooperation will be complemented by the standardised geometrical characterisation of the mechanical components of the X-ray aperture test stand.