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Model and simulation of fringe projection measurements as part of an assistance system for multi-component fringe projection sensors

机译:作为多组件条纹投影传感器辅助系统一部分的条纹投影测量的模型和仿真

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Multi-component fringe projection sensors allow the fast, holistic, exact, robust, contact free sampling of a workpiece surface. The success of an inspection relies on the skills, diligence and experience of the inspection planner. For setting up an inspection, there is no standardized method established yet. Therefore there is a need for assistance systems to support the operator. A prototype of an such assistance system for multi-component fringe projection sensors is introduced. The assistance system supports the inspection planner in determining the ideal sighting- and positioning-strategy. As key element, the result of a planned inspection is simulated. First, the optical performance of the designated fringe projection sensor is calculated by use of raytracing software. Then the measurement result and the measurement uncertainty for specific measurement tasks and a chosen measuring pose, is simulated. Fundament for this simulation is a complete mathematical-physical model of the measurement. Building on this and on the knowledge of influences, which were previously inscribed in entry masks, the measurement uncertainty can be estimated and displayed individually for each point of a workpiece surface. Thus the inspection planner can easily evaluate the quality of the planned inspection setup. Additional optimizing algorithms were implemented. The aim of the multi-criteria optimization is to determine the best configuration for the measurement device and the ideal sighting- and positioning-strategy. As measure of quality serves hereby the reduction of the measurement uncertainty.
机译:多组分条纹投影传感器可对工件表面进行快速,整体,精确,坚固,无接触采样。检验的成功取决于检验计划者的技能,勤奋和经验。为了建立检查,尚未建立标准化的方法。因此,需要辅助系统来支持操作员。介绍了这种用于多分量条纹投影传感器的辅助系统的原型。辅助系统支持检查计划员确定理想的瞄准和定位策略。作为关键要素,模拟了计划检查的结果。首先,使用光线跟踪软件计算指定条纹投影传感器的光学性能。然后,对特定测量任务和所选测量姿势的测量结果和测量不确定度进行仿真。此模拟的基础是测量的完整数学物理模型。以此为基础,并根据影响的知识(先前已记录在入口掩模中),可以对测量不确定性进行估计,并针对工件表面的每个点分别显示。因此,检查计划员可以轻松评估计划检查设置的质量。实施了其他优化算法。多标准优化的目的是确定测量设备的最佳配置以及理想的瞄准和定位策略。因此,降低质量不确定性有助于质量的度量。

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