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Prediction of Surface Roughness in Milling by Using Multiple Regression

P. Nanda Kumar*, G. Ranga Janardhana**

*Department of Mechanical Engineering ,Rajeev Gandhi Memorial College of Engg. & Tech,Kurnool Dist. (A.P)

**Department of Mechanical Engineering ,Jawaharlal Nehru Technological University,Kukatpally, Hyderabad 500 072 (A.P).

Periodicity:February - April'2006
DOI : https://doi.org/10.26634/jfet.1.3.981

Abstract

Surface roughness plays an important role in manufacturing and the product quality depends on the surface roughness. The present work focuses on developing a multiple regression model with intercepts for the prediction of surface roughness in milling. The working parameters, viz. speed, feed and depth of cut are considered in this model. The experiments were conducted based on factorial design in Design of Experiments (DOE). The values surface roughness predicted by this model are then verified with additional experiments and compared. Experimental results and statistical tests demonstrate that the model developed in this work predicts the surface roughness values with good accuracy.

Keywords

Surface roughness, Design of Experiments (DOE), Regression analysis

How to Cite this Article?

P. Nanda Kumar and G.Ranga Janardhana (2006). Prediction of Surface Roughness in Milling by Using Multiple Regression. i-manager’s Journal on Future Engineering and Technology, 1(3), 69-74. https://doi.org/10.26634/jfet.1.3.981

References

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2.M.S. Chua, M. Rahman, Y.S. Wong and H.T. Loh “Determination of optimal cutting conditions using Design of Experiments and optimization Techniques” Int. J .Machine Tools Manufacture Vol.33 No.2 (1993) 297-305.

3.Richard A. Johnson, Probability and Statistics for Engineers Prentice Hall of India Pvt Ltd, New Delhi, 1999.

4.C. X. (Jack) Feng, X. Wang “Development of Empirical Models for Surface Roughness Prediction in Finish Turning” Int. J. Advanced Manufacturing Technology (20 (2002) 348-356.

5.Dr. Mike S. Lou, Dr. Joseph C. Chen, Dr. Caleb M. Li “Surface Roughness Prediction for CNC End Milling” Journal of Industrial Technology Vol.15, No.1, (Nov 1998 Jan 1999), 2-6.

6.Mr. John. Yang & Dr. Joseph C. Chen “ A Systematic Approach for Identifying Optimum Surface Roughness Performance in End Milling Operations” Journal of Industrial Technology Vol.17, No.2, (Feb 2001 April 2001), 2-8

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