Elevation Uncertainty
Statistical representation of the discrepancies between measured vertical coordinates and the actual physical height of a feature provides a tool for assessing measurement confidence. Developing a z height error model requires analyzing the noise and mechanical resolution of the optical system. Developing the framework identifies the limits of the inspection process and sets the boundaries for acceptable variation.
Error Origin
Primary factors contributing to the z height error model include sensor noise and surface reflectivity. Highly specular surfaces can cause the light beam to scatter, leading to false height readings. The model also accounts for the mechanical vibration of the inspection gantry and the quantization errors of the detector.
By quantifying multiple variables, the system can estimate the true uncertainty of every measurement taken on the production line.
Tolerance Management
Application of the model during the inspection phase allows for the dynamic adjustment of pass/fail thresholds. A z height error model helps in distinguishing between a genuine defect and a measurement artifact caused by board texture. This reduction in false calls improves the efficiency of the rework station and prevents unnecessary scrap.
High precision assembly lines rely on these models to maintain yields when component tolerances are extremely tight. Integrating the model into the shop floor control system provides a way to track the health of the metrology hardware over time.