List of Titles

Authors: Jen, Tien-Chien , Anagonye, Aloysius U.
Date: 2001-02
Subjects: Cutting temperatures , Cutting tools , Transient tool temperatures
Type: Article
Identifier: uj:5250 , ISSN 1087-1357 , http://hdl.handle.net/10210/14856
Description: 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.
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Authors: Stephenson, D. A. , Jen, T. C. , Lavine, A. S.
Date: 1997
Subjects: Contour turning , Transient analysis , Cutting tools , Cutting temperatures
Type: Article
Identifier: uj:5245 , ISSN 1087-1357 , http://hdl.handle.net/10210/14851
Description: This paper describes a model for predicting cutting tool temperatures under transient conditions. It is applicable to processes such as contour turning, in which the cutting speed, feed rate, and depth of cut may vary continuously with time. The model is intended for use in process development and trouble shooting. Therefore, emphasis is given in the model development to enable rapid computation and to avoid the need to specify parameters such as thermal contact resistances and convection coefficients which are not known in practice. Experiments were conducted to validate the predictive model. The model predictions with two different boundary conditions bound the experimental results. An example is presented which shows the utility of the model for process planning.
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Authors: Jen, Tien-Chien , Gutierrez, Gustavo , Eapen, Sunil
Date: 2011
Subjects: Numerical analysis , Cutting tools , Cutting temperatures
Type: Article
Identifier: uj:5243 , ISSN 1040-7782 , http://hdl.handle.net/10210/14843
Description: In any cutting process, plastic deformation involved in chip formation and friction between the tool and the workpiece produces heat by the conversion of mechanical energy. A portion of this heat conducts into the tool and results in high temperatures near the cutting edge. As the temperature increases, the tool becomes softer and wears more rapidly, thus having a negative impact on tool life. In many cutting processes, tool life, or tool wear, is the major limitation to the process viability. Increased temperature also affects the dimensional accuracy of the products and machining efficiency. Because of these considerations, it is crucial to be able to predict accurately the tool temperature. Cutting temperatures have been studied widely for a number of years. Most research, however, has been restricted to steady state temperatures in relatively simple processes, such as orthogonal cutting or cylindrical turning, in which the cutting speed, feed rate, and the depth of cut are constant [1^3, 17, 21, 24]. In most industrial machining processes, however, these parameters vary with time so that a steady state temperature assumption may not be valid.
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