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首页> 外文会议>Conference on Recent Developments in Traceable Dimensional Measurements Jun 20-21, 2001, Munich, Germany >Virtual CMM using Monte Carlo Methods based on Frequency Content of the Error Signal
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Virtual CMM using Monte Carlo Methods based on Frequency Content of the Error Signal

机译：基于蒙特卡罗方法的基于误差信号频率的虚拟坐标测量机

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摘要

In coordinate measurement metrology, assessment of the measurement uncertainty of a particular measurement is not a straight forward task. A feasible way for calculation of the measurement uncertainty seems to be the use of a Monte Carlo method. In recent years, a number of Monte Carlo methods have been developed for this purpose, we have developed a Monte Carlo method that can be used on CMM's that takes into account, among other factors, the auto correlation of the error signal. We have separated the errors in linearity errors, rotational errors, straightness errors and squareness errors. Special measurement tools have been developed and applied to measure the required parameters. The short-wave as well as the long-wave behavior of the errors of a specific machine have been calibrated. A machine model that takes these effects into account is presented here. The relevant errors of a Zeiss Prismo were measured, and these data were used to calculate the measurement uncertainty of a measurement of a ring gauge. These calculations were compared to real measurements.
机译：在坐标测量计量学中，对特定测量的测量不确定度进行评估不是直接的任务。计算测量不确定度的可行方法似乎是使用蒙特卡洛方法。近年来，已为此目的开发了许多蒙特卡洛方法，我们开发了一种可在坐标测量机上使用的蒙特卡洛方法，该方法考虑了误差信号的自动相关性等因素。我们将误差分为线性误差，旋转误差，直线度误差和垂直度误差。已经开发出特殊的测量工具并将其用于测量所需的参数。特定机器错误的短波和长波行为已被校准。这里介绍了一种考虑了这些影响的机器模型。测量了蔡司棱镜的相关误差，并将这些数据用于计算环规的测量的不确定度。将这些计算结果与实际测量结果进行了比较。

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