DETERMINATION OF TRANSIENT AND STEADY STATE CUTTING IN FACE MILLING OPERATION USING RECURRENCE QUANTIFICATION ANALYSIS

Typical face milling operation involves transient and steady state cutting phases. Identification and distinction of the cutting state will primarily help in understanding the fundamentals of forced vibration, deflection and dynamic stability in milling system at the beginning and end of a cutting pass. Such type of investigation has advantages in process planning, tool geometry optimization and on-line fault diagnosis. An effort to provide estimation of transient and steady state cutting has been made using Recurrence Quantification Analysis (RQA) of vibration signals. RQA is a novel nonlinear analytical tool. It starts with construction of recurrence plot using embedded dimension and time delay. The recurrence plot is than quantified resulting in RQA. Face milling of H11 chromium steel has been carried out at two different cutting conditions and analyzed. The resulting RQA parameters could identify and distinguish transient and steady state cutting.

[1]  E. G. Thomsen,et al.  A Critical Comparison of Metal-Cutting Theories With New Experimental Data , 1960 .

[2]  Masayoshi Tomizuka,et al.  On-Line Monitoring of Tool and Cutting Conditions in Milling , 1989 .

[3]  Toshiyuki Obikawa,et al.  Application of computational machining method to discontinuous chip formation , 1997 .

[4]  Xiaoli Li,et al.  Time-frequency-analysis-based minor cutting edge fracture detection during end milling , 2004 .

[5]  D. Ruelle,et al.  Recurrence Plots of Dynamical Systems , 1987 .

[6]  K. Weinmann,et al.  Mechanics of Tool-Workpiece Engagement and Incipient Deformation in Machining of 70/30 Brass , 1971 .

[7]  N. Marwan Encounters with neighbours : current developments of concepts based on recurrence plots and their applications , 2003 .

[9]  Elisabetta Ceretti,et al.  FEM simulation of orthogonal cutting: serrated chip formation , 1999 .

[10]  D. E. Dimla,et al.  Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods , 2000 .

[11]  S. Engin Kilic,et al.  A comparison of orthogonal cutting data from experiments with three different finite element models , 2004 .

[12]  G. Rohde,et al.  Intensity Analysis of Recurrence Plots for the Detection of Deterministic Signals in Noise , 2006 .

[13]  Katsumi Yamaguchi,et al.  On Transient cutting Mechanics at the Initial Stage of Peripheral Milling Process , 1976 .

[14]  Gi Dae Kim,et al.  In-Process Tool Fracture monitoring in Face Milling Using Spindle Motor Current and Tool Fracture Index , 2001 .

[15]  Suk-Hwan Suh,et al.  Statistical tool breakage detection schemes based on vibration signals in NC milling , 1999 .

[16]  Grzegorz Litak,et al.  Quantitative estimation of the tool wear effects in a ripping head by recurrence plots , 2008 .

[17]  J. Nichols,et al.  Damage detection using multivariate recurrence quantification analysis , 2006 .

[18]  H. Abarbanel,et al.  Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[19]  C L Webber,et al.  Dynamical assessment of physiological systems and states using recurrence plot strategies. , 1994, Journal of applied physiology.

[20]  T. Claasen,et al.  THE WIGNER DISTRIBUTION - A TOOL FOR TIME-FREQUENCY SIGNAL ANALYSIS , 1980 .

[21]  Claire G. Gilmore,et al.  A NEW APPROACH TO TESTING FOR CHAOS, WITH APPLICATIONS IN FINANCE AND ECONOMICS , 1993 .

[22]  Masao Masugi,et al.  Recurrence Plot-Based Approach to the Analysis of IP-Network Traffic in Terms of Assessing Nonstationary Transitions Over Time , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[23]  Y. S. Tarng Study of milling cutting force pulsation applied to the detection of tool breakage , 1990 .

[24]  Fraser,et al.  Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.

[25]  J. Zbilut,et al.  Embeddings and delays as derived from quantification of recurrence plots , 1992 .

[26]  Yusuf Altintas,et al.  In-Process Detection of Tool Failure in Milling Using Cutting Force Models , 1989 .

[27]  Steven Y. Liang,et al.  Cutting Force Analysis in Transient State Milling Processes , 1999 .

[28]  C. K. Toh,et al.  Vibration analysis in high speed rough and finish milling hardened steel , 2004 .

[29]  Paul William Prickett,et al.  An overview of approaches to end milling tool monitoring , 1999 .