4.5 Article

Real-time estimation of cutting forces via physics-inspired data-driven model

Journal

CIRP ANNALS-MANUFACTURING TECHNOLOGY
Volume 71, Issue 1, Pages 317-320

Publisher

ELSEVIER
DOI: 10.1016/j.cirp.2022.04.071

Keywords

Machine tool; Modelling; Monitoring

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This paper presents a method for estimating cutting forces in real time within machine tools for any spindle speed, force profile, tool type, and cutting conditions. By inducing magnetic forces and measuring on-machine vibrations, magnetic forces, and error motions, a physics-inspired data-driven model is used to relate measured accelerations to the magnetic forces. The model is then utilized to estimate cutting forces in real time during the cutting process.
A method is presented to estimate the cutting forces in real time within machine tools for any spindle speed, force profile, tool type, and cutting conditions. Before cutting, a metrology suite and instrumented tool holder are used to induce magnetic forces during spindle rotation, while on-machine vibrations, magnetic forces, and error motions are measured for various combinations of speeds and forces. A physics-inspired datadriven model then relates the measured accelerations to the magnetic forces, such that during cutting, onmachine measured vibrations are used in the model to estimate the cutting forces in real time. Published by Elsevier Ltd on behalf of CIRP.

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