# Mathematical models to predict surface finish in fine turning of steel. Part I.

Mathematical models to predict surface finish in fine turning of steel. Part I. Abstract This paper outlines the experimental development of mathematical models for predicting the surface finish of AISI 4140steel in fine turning operation using TiC coated tungsten carbide throw away tools. A novel experimental design called the rotatable design was used for the experimental procedures. Variables included in the model are: cutting speed, feed, depth of cut and time of cut of the tool. Statistical coding was used for the experimental variables. First order (log transformed) models were developed. For tools that exhibited lack of fit for the first-order models, a second-order model was developed. Multiple regression analysis was used in developing these prediction models. The models developed are for the TiC coated tungsten carbide tools of following nose radii: and inch. In Part fl of this paper, surface finish predictive equations for fine turning developed for both TiC coated and uncoated throwaway cutting tools are further discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Production Research Taylor & Francis

# Mathematical models to predict surface finish in fine turning of steel. Part I.

, Volume 19 (5): 10 – Sep 1, 1981

## Mathematical models to predict surface finish in fine turning of steel. Part I.

, Volume 19 (5): 10 – Sep 1, 1981

### Abstract

Abstract This paper outlines the experimental development of mathematical models for predicting the surface finish of AISI 4140steel in fine turning operation using TiC coated tungsten carbide throw away tools. A novel experimental design called the rotatable design was used for the experimental procedures. Variables included in the model are: cutting speed, feed, depth of cut and time of cut of the tool. Statistical coding was used for the experimental variables. First order (log transformed) models were developed. For tools that exhibited lack of fit for the first-order models, a second-order model was developed. Multiple regression analysis was used in developing these prediction models. The models developed are for the TiC coated tungsten carbide tools of following nose radii: and inch. In Part fl of this paper, surface finish predictive equations for fine turning developed for both TiC coated and uncoated throwaway cutting tools are further discussed.

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# References (3)

Publisher
Taylor & Francis
Copyright Taylor & Francis Group, LLC
ISSN
1366-588X
eISSN
0020-7543
DOI
10.1080/00207548108956685
Publisher site
See Article on Publisher Site

### Abstract

Abstract This paper outlines the experimental development of mathematical models for predicting the surface finish of AISI 4140steel in fine turning operation using TiC coated tungsten carbide throw away tools. A novel experimental design called the rotatable design was used for the experimental procedures. Variables included in the model are: cutting speed, feed, depth of cut and time of cut of the tool. Statistical coding was used for the experimental variables. First order (log transformed) models were developed. For tools that exhibited lack of fit for the first-order models, a second-order model was developed. Multiple regression analysis was used in developing these prediction models. The models developed are for the TiC coated tungsten carbide tools of following nose radii: and inch. In Part fl of this paper, surface finish predictive equations for fine turning developed for both TiC coated and uncoated throwaway cutting tools are further discussed.

### Journal

International Journal of Production ResearchTaylor & Francis

Published: Sep 1, 1981