Analytical Prediction of Stability Lobes in Ball End Milling

Author:

Altıntas¸ Y.1,Shamoto E.2,Lee P.1,Budak E.3

Affiliation:

1. Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, Canada V6T 1Z4

2. The University of British Columbia, Kobe University, Japan

3. Pratt and Whitney Canada, Manufacturing Engineering Development, PQ, Canada

Abstract

The paper presents an analytical method to predict stability lobes in ball end milling. Analytical expressions are based on the dynamics of ball end milling with regeneration in the uncut chip thickness, time varying directional factors and the interaction with the machine tool structure. The cutting force coefficients are derived from orthogonal cutting data base using oblique transformation method. The influence of cutting coefficients on the stability is investigated. A computationally efficient, an equivalent average cutting force coefficient method is developed for ball end milling. The prediction of stability lobes for ball end milling is reduced to the solution of a simple quadratic equation. The analytical results agree well with the experiments and the computationally expensive and complex numerical time domain simulations.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference13 articles.

1. Altintas Y. , and BudakE., 1995, “Analytical Prediction of Stability Lobes in Milling,” Annals of the CIRP, Vol. 44, No. 1, pp. 357–362.

2. Altintas, Y., and Lee, P., 1995, “Mechanics and Dynamics of Ball End Milling,” ASME JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING.

3. Budak E. , AltintasY., and ArmaregoE. J. A., 1996, “Prediction of Milling Force Coefficients from Orthogonal Cutting Data,” ASME JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING, Vol. 118, pp. 216–224.

4. Budak, E., and Altintas, Y., 1995, “Analytical Prediction of Chatter Stability in Milling Part I: General Formulation, Part II: Applications,” ASME Journal of Dynamic Systems, Measurement and Control.

5. Merrit H. E. , 1965, “Theory of Self-Excited Machine Tool Chatter,” ASME JOURNAL OF ENGINEERING FOR INDUSTRY, Vol. 87, pp. 447–454.

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