Simultaneous Stability and Surface Location Error Predictions in Milling

Optimizing the milling process requires a priori knowledge of many process variables. However the ability to include both milling stability and accuracy information is limited because current methods do not provide simultaneous milling stability and accuracy predictions. The method described within this paper, called Temporal Finite Element Analysis (TFEA), provides an approach for simultaneous prediction of milling stability and surface location error. This paper details the application of this approach to a multiple mode system in two orthogonal directions. The TFEA method forms an approximate analytical solution by dividing the time in the cut into a finite number of elements. The approximate solution is then matched with the exact solution for free vibration to obtain a discrete linear map. The formulated dynamic map is then used to determine stability, steady-state surface location error, and to reconstruct the time series for a stable cutting process. Solution convergence is evaluated by simply increasing the number of elements and through comparisons with numerical integration. Analytical predictions are compared to several different milling experiments. An interesting period two behavior, which was originally believed to be a flip bifurcation, was observed during experiment. However, evidence is presented to show this behavior can be attributed to runout in the cutter teeth.

[1]  B. Mann,et al.  Limit cycles, bifurcations, and accuracy of the milling process , 2004 .

[2]  D. Peters,et al.  hp-version finite elements for the space-time domain , 1988 .

[3]  S. Smith,et al.  An Overview of Modeling and Simulation of the Milling Process , 1991 .

[4]  W. Kline,et al.  The Prediction of Surface Accuracy in End Milling , 1982 .

[5]  D. J. Ewins,et al.  Modal Testing: Theory and Practice , 1984 .

[6]  Herbert Schulz,et al.  High-Speed Machining , 1992 .

[7]  Balakumar Balachandran,et al.  Dynamics and stability of milling process , 2001 .

[8]  I. Grabec Chaotic dynamics of the cutting process , 1988 .

[9]  Jiří Tlustý,et al.  Manufacturing processes and equipment , 1999 .

[10]  R. Sridhar,et al.  A Stability Algorithm for the General Milling Process: Contribution to Machine Tool Chatter Research—7 , 1968 .

[11]  Tony L. Schmitz,et al.  Prediction of Surface Location Error by Time Finite Element Analysis and Euler Integration | NIST , 2002 .

[12]  Balakumar Balachandran,et al.  Nonlinear dynamics of milling processes , 2001, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[13]  J. Tlustý,et al.  Special Aspects of Chatter in Milling , 1983 .

[14]  Jon R. Pratt,et al.  Stability Prediction for Low Radial Immersion Milling , 2002 .

[15]  O. Daněk,et al.  Selbsterregte Schwingungen : An Werkzeugmaschinen , 1962 .

[16]  John W. Sutherland,et al.  An Improved Method for Cutting Force and Surface Error Prediction in Flexible End Milling Systems , 1986 .

[17]  Gábor Stépán,et al.  Stability of up-milling and down-milling, part 2: experimental verification , 2003 .

[18]  Gábor Stépán,et al.  Stability of High-Speed Milling , 2000, Nonlinear Dynamics and Stochastic Mechanics.

[19]  Yusuf Altintas,et al.  Mechanism of Cutting Force and Surface Generation in Dynamic Milling , 1991 .

[20]  H. E. Merritt Theory of Self-Excited Machine-Tool Chatter: Contribution to Machine-Tool Chatter Research—1 , 1965 .

[21]  D. D. Cox,et al.  Modal and Spectrum Analysis: Data Dependent Systems in State Space , 1991 .

[22]  Lawrence N. Virgin,et al.  Introduction to Experimental Nonlinear Dynamics , 2000 .

[23]  I. E. Minis,et al.  A New Theoretical Approach for the Prediction of Machine Tool Chatter in Milling , 1993 .

[24]  Tony L. Schmitz,et al.  Examination of surface location error due to phasing of cutter vibrations , 1999 .

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

[26]  Gábor Stépán,et al.  Stability of up-milling and down-milling, part 1: alternative analytical methods , 2003 .

[27]  John S. Agapiou,et al.  Metal Cutting Theory and Practice , 1996 .

[28]  R. L. Kegg,et al.  Cutting Dynamics in Machine Tool Chatter: Contribution to Machine-Tool Chatter Research—3 , 1965 .

[29]  S. A. Tobias Vibration of machine tools , 1964 .

[30]  Tony L. Schmitz,et al.  Chatter recognition by a statistical evaluation of the synchronously sampled audio signal , 2003 .

[31]  Matz Lenner,et al.  High Speed Machining , 2001 .

[32]  S. A. Tobias,et al.  A Theory of Nonlinear Regenerative Chatter , 1974 .

[33]  G. Stépán Retarded dynamical systems : stability and characteristic functions , 1989 .

[34]  Tony L. Schmitz,et al.  Effects of Radial Immersion and Cutting Direction on Chatter Instability in End-Milling , 2002 .

[35]  Yusuf Altintas,et al.  Analytical Prediction of Three Dimensional Chatter Stability in Milling , 2001 .

[36]  S. A. Tobias Machine-tool vibration , 1965 .

[37]  Keith A. Young,et al.  Machining Accuracy Due to Tool or Workpiece Vibrations , 2003 .

[38]  Jon R. Pratt,et al.  Design and Modeling for Chatter Control , 1999 .

[39]  Balakumar Balachandran,et al.  Impact Dynamics in Milling of Thin-Walled Structures , 1996, Nonlinear Dynamics and Controls.

[40]  Kenneth B. Hannsgen,et al.  Retarded Dynamical Systems: Stability and Characteristic Functions (G. Stépán) , 1991, SIAM Rev..

[41]  B. Mann,et al.  Stability of Interrupted Cutting by Temporal Finite Element Analysis , 2003 .

[42]  Jon R. Pratt,et al.  The Stability of Low Radial Immersion Milling , 2000 .

[43]  P. Bayly,et al.  Stability Analysis of Interrupted Cutting With Finite Time in the Cut , 2000, Manufacturing Engineering.