Applied Sciences (May 2024)

Practical Estimation of Machine Tool Spindle Dynamics for Maintenance Decision Making

  • Patrick Chin,
  • Jose M. DePavia,
  • Stephen C. Veldhuis

DOI
https://doi.org/10.3390/app14104266
Journal volume & issue
Vol. 14, no. 10
p. 4266

Abstract

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Condition-based maintenance of a machine tool spindle unit is known to reduce the total cost of operation in a manufacturing environment. However, standard vibration monitoring thresholds, which are based only on average vibration energy levels, do not account for the machine’s dynamics, such as dynamic stiffness and damping ratios, which, ultimately, control the final quality of a machined workpiece. In this study, a new mechanical device is proposed for the estimation of spindle dynamics characteristics through measurement of the frequency response function (FRF) of the spindle. The device is simple, robust in a manufacturing environment, small, and requires no power source. The new device is shown to be comparable in performance to conventional impact hammer testing, with the advantage of being fully automated and capable of dynamic assessment on a rotating spindle. Such a device allows a machine tool operator to routinely monitor the stiffness and damping ratios of the spindle unit and make informed maintenance decisions based on meaningful changes in operating conditions that impact production.

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