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

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.

[1]  R. Whalley,et al.  Hybrid modelling of machine tool axis drives , 2005 .

[2]  Aun-Neow Poo,et al.  Tracking and contour error control in CNC servo systems , 2005 .

[3]  Yusuf Altintas,et al.  Virtual CNC system. Part II. High speed contouring application , 2006 .

[4]  Pierre-Jean Barre,et al.  Modélisation du comportement dynamique et commande d'une machine-outil agile , 2002 .

[5]  Didier Dumur,et al.  Hierarchical Predictive Control within an Open Architecture Virtual Machine Tool , 2006 .

[6]  Christian Brecher,et al.  Virtual machine tool , 2005 .

[7]  Christophe Tournier,et al.  Kinematical performance prediction in multi-axis machining for process planning optimization , 2008 .

[8]  M Maarten Steinbuch,et al.  Trajectory planning and feedforward design for electromechanical motion systems , 2005 .

[9]  Sylvain Lavernhe,et al.  Feed drive simulation for the prediction of the tool path follow up in High Speed Machining , 2008 .

[10]  K. Krishnamurthy,et al.  Control of low velocity friction and gear backlash in a machine tool feed drive system , 1999 .

[11]  Christophe Tournier,et al.  Optimization of 5-axis high-speed machining using a surface based approach , 2008, Comput. Aided Des..

[12]  Kaan Erkorkmaz,et al.  Rapid identification technique for virtual CNC drives , 2007 .

[13]  Carlos Canudas de Wit,et al.  Friction Models and Friction Compensation , 1998, Eur. J. Control.

[14]  Yusuf Altintas,et al.  Virtual CNC system. Part I. System architecture , 2006 .

[15]  Christophe Tournier,et al.  Iso-scallop tool path generation in 5-axis milling , 2005 .

[16]  Yusuf Altintas,et al.  High Speed CNC System Design. Part II : Modeling and Identification of Feed Drives , 2001 .

[17]  E. Mosca.  MODEL-BASED PREDICTIVE CONTROL , 2006 .

[18]  Didier Dumur,et al.  High-performance NC for high-speed machining by means of polynomial trajectories , 2004 .

[19]  Hiromi Mochiyama,et al.  Fixed-step friction simulation: from classical Coulomb model to modern continuous models , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  Peter Krajnik,et al.  Modern machining of die and mold tools , 2004 .

[21]  Tony L. Schmitz,et al.  Case study: A comparison of error sources in high-speed milling , 2008 .

[22]  Christophe Tournier,et al.  5-axis High Speed Milling Optimisation , 2009, ArXiv.

[23]  Christophe Tournier,et al.  NC-simulation for the prediction of surface finish in 5-axis High-Speed Machining , 2008 .