Feed drive modelling for the simulation of tool path tracking in multi-axis High Speed Machining

TL;DR

This paper presents a feed drive model for multi-axis High Speed Machining that enables simulation and optimization of tool path tracking, improving surface quality and productivity.

Contribution

It introduces a new feed drive modeling approach combined with an identification procedure and predictive control for enhanced simulation and parameter tuning.

Findings

Model accurately predicts axis dynamics during HSM

Simulation framework successfully tunes control parameters

Experimental validation confirms model effectiveness

Abstract

Within the context of High Speed Machining, it is essential to manage the trajectory generation to achieve both high surface quality and high productivity. As feed drives are one part of the set Machine tool - Numerical Controller, it is necessary to improve their performances to optimize feed drive dynamics during trajectory follow up. Hence, this paper deals with the modelling of the feed drive in the case of multi axis machining. This model can be used for the simulation of axis dynamics and tool-path tracking to tune parameters and optimize new frameworks of command strategies. A procedure of identification based on modern NC capabilities is presented and applied to industrial HSM centres. Efficiency of this modelling is assessed by experimental verifications on various representative trajectories. After implementing a Generalized Predictive Control, reliable simulations are performed thanks to the model. These simulations can then be used to tune parameters of this new framework according to the tool-path geometry.