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

Published

May 25, 2022

Author(s)

Gregory W. Vogl, Dominique Regli, Gregory Corson

Abstract

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 data-driven model then relates the measured accelerations to the magnetic forces, such that during cutting, on-machine measured vibrations are used in the model to estimate the cutting forces in real time.

Citation

CIRP Annals-Manufacturing Technology

Volume

71

Issue

1

Pub Type

Journals

Download Paper

https://doi.org/10.1016/j.cirp.2022.04.071

Local Download

Keywords

Machine tool, Modelling, Monitoring

Citation

Vogl, G. , Regli, D. and Corson, G. (2022), Real-time estimation of cutting forces via physics-inspired data-driven model, CIRP Annals-Manufacturing Technology, [online], https://doi.org/10.1016/j.cirp.2022.04.071, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934147 (Accessed December 12, 2024)