Adaptive Monte Carlo applied to uncertainty estimation in a five axis machine tool link errors identification

  title={Adaptive Monte Carlo applied to uncertainty estimation in a five axis machine tool link errors identification},
  author={Lo{\"i}c Andolfatto and Ren{\'e} Mayer and Sylvain Lavernhe},
Knowledge of a machine tool axis to axis geometric location errors allows compensation and corrective actions to be taken to enhance its volumetric accuracy. Several procedures exist, involving either lengthy individual test for each geometric error or faster single tests to identify all errors at once. This study focuses on the closed kinematic chain method which uses a single setup test to identify the eight link errors of a five axis machine tool. The identification is based on volumetric… CONTINUE READING
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