Prediction of chatter stability in high speed milling using the numerical differentiation method

A numerical differentiation method is presented to predict the high speed milling stability of a two degrees of freedom (DOF) system based on the finite difference method and extrapolation method. The milling dynamics taking the regenerative effect into account are represented as linear periodic delayed differential equations (DDE) in the state space form. Then, each component of the first derivative of the state function versus time at the discretized sampling grids is approximated as a weighted linear sums of the state function values at its neighboring grid points, where the weight coefficients are calculated based on the extrapolation method. As such, the DDE on the forced vibration duration is approximately discretized as a series of algebraic equations. Thereafter, the Floquet transition matrix can be constructed on one tooth passing period by combining the analytical solution of the free vibration and the algebraic equations of the forced vibration. Finally, the milling stability is determined according to Floquet theory. The stability diagrams and convergence of critical eigenvalues in comparison with the benchmark algorithms (the semi-discretization method and numerical integration method) via experimentally verified examples are utilized to demonstrate the effectiveness and efficiency of the proposed method.

[1]  Han Ding,et al.  Runge–Kutta methods for a semi-analytical prediction of milling stability , 2014 .

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

[3]  Nejat Olgac,et al.  Dynamics and Stability of Variable-pitch Milling , 2007 .

[4]  Gábor Stépán,et al.  Semi‐discretization method for delayed systems , 2002 .

[5]  Gábor Stépán,et al.  Updated semi‐discretization method for periodic delay‐differential equations with discrete delay , 2004 .

[6]  Guillem Quintana,et al.  Chatter in machining processes: A review , 2011 .

[7]  Han Ding,et al.  A full-discretization method for prediction of milling stability , 2010 .

[8]  Yuwen Sun,et al.  On the accurate calculation of milling stability limits using third-order full-discretization method , 2012 .

[9]  Rifat Sipahi,et al.  A Unique Methodology for Chatter Stability Mapping in Simultaneous Machining , 2005 .

[10]  Keith A. Young,et al.  Simultaneous Stability and Surface Location Error Predictions in Milling , 2005 .

[11]  Yusuf Altintas,et al.  Analytical Prediction of Chatter Stability in Milling—Part I: General Formulation , 1998 .

[12]  Haitao Ma,et al.  Stability of linear time‐periodic delay‐differential equations via Chebyshev polynomials , 2004 .

[13]  Firas A. Khasawneh,et al.  A spectral element approach for the stability of delay systems , 2011 .

[14]  Jun Zhao,et al.  Design for variable pitch end mills with high milling stability , 2011 .

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

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

[17]  Gábor Stépán,et al.  Regenerative delay, parametric forcing and machine tool chatter: A review , 2015 .

[18]  Eric A. Butcher,et al.  On the Chebyshev spectral continuous time approximation for constant and periodic delay differential equations , 2011 .

[19]  Gábor Stépán,et al.  Semi-Discretization for Time-Delay Systems: Stability and Engineering Applications , 2011 .

[20]  Han Ding,et al.  Numerical Integration Method for Prediction of Milling Stability , 2011 .

[21]  Yusuf Altintas,et al.  Discrete-Time Prediction of Chatter Stability, Cutting Forces, and Surface Location Errors in Flexible Milling Systems , 2012 .

[22]  Han Ding,et al.  Second-order full-discretization method for milling stability prediction , 2010 .

[23]  S. Smith,et al.  Efficient simulation programs for chatter in milling , 1993 .

[24]  Marian Wiercigroch,et al.  Sources of nonlinearities, chatter generation and suppression in metal cutting , 2001, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[25]  Dinghua Zhang,et al.  An efficient full-discretization method for prediction of milling stability , 2012 .

[26]  Min Wan,et al.  A unified stability prediction method for milling process with multiple delays , 2010 .

[27]  Gábor Stépán,et al.  Approximate stability charts for milling processes using semi-discretization , 2006, Appl. Math. Comput..

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

[29]  A. Galip Ulsoy,et al.  Delay differential equations via the matrix Lambert W function and bifurcation analysis: application to machine tool chatter. , 2007, Mathematical biosciences and engineering : MBE.

[30]  A. Galip Ulsoy,et al.  Analysis of a System of Linear Delay Differential Equations , 2003 .

[31]  Guojun Zhang,et al.  Complete discretization scheme for milling stability prediction , 2013 .

[32]  Balakumar Balachandran,et al.  Dynamics of milling processes with variable time delays , 2006 .

[33]  Yusuf Altintas,et al.  Multi frequency solution of chatter stability for low immersion milling , 2004 .

[34]  Gene H. Golub,et al.  Matrix computations , 1983 .

[35]  Miklós Farkas,et al.  Periodic Motions , 1994 .

[36]  Yusuf Altintas,et al.  Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design , 2000 .

[37]  Han Ding,et al.  An efficient linear approximation of acceleration method for milling stability prediction , 2013 .

[38]  J. Tlusty,et al.  Basic Non-Linearity in Machining Chatter , 1981 .

[39]  Steven Y. Liang,et al.  Chatter stability analysis for end milling via convolution modelling , 1996 .

[40]  Gábor Stépán,et al.  Stability Analysis of Turning With Periodic Spindle Speed Modulation Via Semidiscretization , 2004 .

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

[42]  Han Ding,et al.  Milling stability analysis using the spectral method , 2011 .

[43]  Han Ding,et al.  Stability Analysis of Milling Via the Differential Quadrature Method , 2013 .

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

[45]  Tamás Insperger,et al.  Full-discretization and semi-discretization for milling stability prediction: Some comments , 2010 .

[46]  Han Ding,et al.  A synthetical stability method for cutting parameter optimization to assure surface location accuracy in flexible part milling , 2014 .