An Improved Transient Model of Tool Temperatures in Metal Cutting

Author:

Jen Tien-Chien1,Anagonye Aloysius U.2

Affiliation:

1. Mechanical Engineering Department, University of Wisconsin, Milwaukee, Milwaukee, WI 53201

2. Research & Development Center, General Motors Corporation, Warren, MI 49090

Abstract

A model for predicting cutting tool temperatures under transient conditions is presented. The model of Stephenson et al. [10] is extended to include the initial transient response to the tool temperature and nonuniform heat flux distributions. The main goal in this paper is to be able to accurately predict the initial transient tool temperature response, or temperatures in interrupted cutting for cases where the cutting time is short. A method to predict the true transient energy partitioning instead of quasi-steady energy partitioning (Stephenson et al., [10]), without seeking the full numerical analysis, has been developed. In this paper, the transient energy partitioning is obtained through a fixed-point iteration process by modifying the quasi-steady energy partitioning method presented by Loewen and Shaw [11]. The predicted transient tool temperatures are compared quantitatively to the experimental data. Utilizing a semi-empirical correlation for heat flux distribution along the tool-chip interface, the temperature distribution is calculated and compared qualitatively to existing experimental data.

Publisher

ASME International

Subject

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

Reference21 articles.

1. Trigger, K. J., and Chao, B. T., 1951, “An Analytical Evaluation of Metal Cutting Temperatures,” Trans. ASME, 73, pp. 57–68.

2. Barrow, G. , 1973, “A Review of Experimental and Theoretical Techniques for Assessing Cutting Temperatures,” CIRP Ann., 22, pp. 203–211.

3. Shaw, M. C., 1984, Metal Cutting Principles, Oxford University Press, Oxford, Chap. 12.

4. Boothroyd, G., and Knight, W. A., 1989, Fundamentals of Machining and Machine Tools, Marcel and Dekker, New York, Chap. 3.

5. Strenkowski, J. S., and Moon, K. J., 1990, “Finite Element Prediction of Chip Geometry and Tool/Workpiece Temperature Distribution in Orthogonal Machining,” ASME J. Eng. Ind., 112, pp. 313–318.

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