Simulation and analysis of error impact on freeform surface milling

The challenge in the milling of freeform surfaces lies in the enhancement of surface quality as well as the reduction of production time and cost. Freeform surface milling processes have been analysed and contrasted, to identify and quantify the decisive factors that significantly influence the productivity and the workpiece quality. The focus has been on monitoring, simulating and quantifying error sources which affect the manufacturing accuracy. The error sources have been separately examined and modelled so as to assign their proportional impact on product quality. The impact of the interpolation method on the tool path accuracy has been analysed, the dynamic behaviour has been simulated, and the CNC process data and the process forces have been monitored. The monitored and measured data have been synchronized in the time domain for each experimental freeform surface milling process and used as input for geometric machining simulations. To evaluate the virtual machining approach, the quality of the virtual products obtained has been compared to the quality of the real products. Furthermore, the proportion of each considered error source could be related to the deviations measured in particular regions of the machined surface.

[1]  Suet To,et al.  An integrated form characterization method for measuring ultra-precision freeform surfaces , 2007 .

[2]  Byoung K. Choi,et al.  Sculptured Surface Machining: Theory and applications , 2012 .

[3]  Dong-Woo Cho,et al.  An intelligent feedrate scheduling based on virtual machining , 2003 .

[4]  Yin-Lin Shen,et al.  Enhanced virtual machining for sculptured surfaces by integrating machine tool error models into NC machining simulation , 2004 .

[5]  Kai Cheng,et al.  Investigation on sampling size optimisation in gear tooth surface measurement using a CMM , 2004 .

[6]  Yusuf Altintas,et al.  Feedrate Optimization for Spline Interpolation In High Speed Machine Tools , 2003 .

[7]  Leonardo De Chiffre,et al.  Uncertainty analysis of point-by-point sampling complex surfaces using touch probe CMMs DOE for complex surfaces verification with CMM , 2010 .

[8]  Juan Antonio Aguirre-Cruz,et al.  Torus Form Inspection Using Coordinate Sampling , 2005 .

[9]  Günter Pritschow,et al.  Open System Architecture for Drives , 2005 .

[10]  Gábor Stépán,et al.  On Stability and Dynamics of Milling at Small Radial Immersion , 2005 .

[11]  T. Insperger,et al.  Analysis of the Influence of Mill Helix Angle on Chatter Stability , 2006 .

[12]  Peihua Gu,et al.  Free-form surface inspection techniques state of the art review , 2004, Comput. Aided Des..

[13]  Klaus Schützer,et al.  C-Space based approach for the calculation of toolpaths for freeform surfaces in B-Spline description , 2010 .

[14]  Yusuf Altintas,et al.  Analytical Prediction of Stability Lobes in Milling , 1995 .

[15]  Brant C. White,et al.  United States patent , 1985 .

[16]  Manfred Weck,et al.  Chatter Stability of Metal Cutting and Grinding , 2004 .

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

[18]  Oliver Rott,et al.  A comparison of analytical cutting force models , 2006 .

[19]  Yingxue Yao,et al.  Modeling of virtual workpiece with machining errors representation in turning , 2006 .

[20]  Xun Xu,et al.  Review: Virtual machine tools and virtual machining-A technological review , 2011 .

[21]  Christian Brecher,et al.  Use of NC kernel data for surface roughness monitoring in milling operations , 2011 .

[22]  Shivakumar Raman,et al.  On the selection of flatness measurement points in coordinate measuring machine inspection , 2000 .

[23]  Suet To,et al.  Development of a virtual machining and inspection system for ultra-precision diamond turning , 2007 .

[24]  Dusan Sormaz,et al.  Integration of Rule-based Process Selection with Virtual Machining for Distributed Manufacturing Planning , 2007 .

[25]  Changqing Liu,et al.  Off-line optimization on NC machining based on virtual machining , 2008 .

[26]  Henk Nijmeijer,et al.  Prediction of regenerative chatter by modelling and analysis of high-speed milling , 2003 .

[27]  Stefan Herter,et al.  Spanbildung und Randzonenbeeinflussung beim Drehen intermetallischer Titanaluminide , 2010 .

[28]  E.-S. Lee,et al.  Contouring Performance Measurement and Evaluation of NC Machine Controller for Virtual Machining CAM System , 2000 .

[29]  Klaus Schützer,et al.  Improvement of Surface Accuracy and Shop Floor Feed Rate Smoothing Through Open CNC Monitoring System and Cutting Simulation , 2012 .

[30]  Oliver Rott,et al.  A milling model with thermal effects including the dynamics of machine and work piece , 2009 .

[31]  Ming-Jen Kuo,et al.  NURBS machining and feed rate adjustment for high-speed cutting of complex sculptured surfaces , 2001 .

[32]  David F. Rogers,et al.  An Introduction to NURBS , 2000 .