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Axis Location Errors and Error Motions Calibration for a Five-axis Machine Tool Using the SAMBA Method

机译:使用SAMBA方法的五轴机床的轴定位误差和误差运动校准

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Positioning accuracy is one of the most important factors influencing a machine tool's ability to manufacture parts meeting the required tolerances. Thus, regular check-ups followed by geometric compensation or mechanical adjustments are necessary to prevent accuracy degradation on such machines. This paper presents an enhanced measurement strategy to extend the capability of the Scale and Master Balls Artefact (SAMBA) method to the estimation of not only the axis location errors but also error motion parameters modeled as ordinary polynomials. This indirect measuring method uses on-machine probing of a scale enriched uncalibrated master balls artefact to gather observations of the machine volumetric behaviour. The analysis of the kinematic model and its associated Jacobian matrix which characterizes the sensitivity of the volumetric errors, as detected by the SAMBA method, to the axis location errors and error motions provide the mathematical basis for the probing strategy design. The simulation and experimental results presented demonstrate the contribution of the applied strategy in enriching substantially the machine tool error model.
机译:定位精度是影响机床制造满足要求公差的零件的能力的最重要因素之一。因此,必须进行定期检查,然后进行几何补偿或机械调整,以防止此类机器的精度下降。本文提出了一种增强的测量策略,以将“缩放和主球伪像”(SAMBA)方法的功能扩展到不仅估计轴位置误差,而且还估计了建模为普通多项式的误差运动参数。这种间接测量方法使用对富含比例的未校准主球伪像的机器探测,以收集对机器体积行为的观察结果。运动模型及其相关的雅可比矩阵的分析表征了SAMBA方法检测到的体积误差对轴位置误差和误差运动的敏感性,为探测策略设计提供了数学基础。给出的仿真和实验结果证明了该应用策略对丰富机床误差模型的贡献。

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