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Correcting capacitive displacement measurements in metrology applications with cylindrical artifacts

机译:使用圆柱伪影校正计量应用中的电容位移测量

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摘要

Metrology applications commonly require non-contact, capacitive sensors for displacement measurements due to their nanometer resolution. In some metrology applications, for example, the measurement of roundness and spindle error motion, the displacements of stationary and rotating cylindrical artifacts are measured. Error from using a conventionally calibrated sensor with a non-flat (e.g., cylindrical) target is typically neglected, but these errors cannot be ignored for nanometer-level accuracy. The capacitance between a sensor and a cylindrical target is less than that of a sensor with a flat target, which causes four effects. As the diameter of the target shrinks, the sensitivity of the sensor increases, the sensing range decreases, the sensing range shifts towards the target, and the nonlinearity increases. These errors can be greatly reduced by either calibrating sensors with the correct target surface or by determining corrections for post-processing data. This paper quantifies and experimentally verifies these errors for a commonly used sensor, and a simulation of a nanometer-level measurement of out-of-roundness and spindle error motion demonstrates that measurement accuracy is improved with corrected sensitivities.
机译:计量应用由于其纳米分辨率,通常需要非接触式电容传感器进行位移测量。在某些计量学应用中,例如,对圆度和主轴误差运动的测量,会测量固定和旋转的圆柱假象的位移。通常可以忽略将常规校准的传感器与非平坦(例如圆柱形)目标配合使用所产生的误差,但是这些误差对于纳米级精度来说是不能忽略的。传感器和圆柱形目标之间的电容小于具有平坦目标的传感器之间的电容,这会产生四种影响。随着目标直径的缩小,传感器的灵敏度会增加,感应范围会减小,感应范围会朝目标方向移动,并且非线性会增加。这些误差可以通过用正确的目标表面校准传感器或通过确定对后处理数据的校正来大大减少。本文对常用传感器的这些误差进行了量化和实验验证,对不圆度和主轴误差运动的纳米级测量的仿真表明,校正了灵敏度后,测量精度将得到提高。

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