Prediction and optimization of surface roughness in milling of medium density fiberboard (MDF) based on Taguchi orthogonal array experiments

Vinayak N. Gaitonde; S. Ramesh Karnik; João Paulo Davim

doi:10.1515/HF.2008.030

Published by De Gruyter February 4, 2008

Prediction and optimization of surface roughness in milling of medium density fiberboard (MDF) based on Taguchi orthogonal array experiments

Vinayak N. Gaitonde , S. Ramesh Karnik and João Paulo Davim

From the journal Holzforschung

https://doi.org/10.1515/HF.2008.030

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Abstract

The main objective of this paper was to develop a mathematical model to predict the surface roughness and to determine the optimal cutting conditions during milling of medium density fiberboard. The milling experiments were carried out as per Taguchi orthogonal array with feed rate and cutting speed as the controlling parameters. A second-order surface roughness model has been developed using the methodology of response surface analysis. The paper presents the details of analysis of variance to validate the developed model. The Taguchi optimization results show that the surface roughness can be optimized with lower feed rate and higher cutting speed values.

Keywords: medium density fiberboard; milling; orthogonal array; response surface methodology; surface roughness; Taguchi design

Corresponding author. Department of Industrial and Production Engineering, B.V.B. College of Engineering and Technology, Hubli-580 031, Karnataka, India Phone: +91-836-2378272 Fax: +91-836-2374985 gaitondevn@yahoo.co.in

Received: 2007-3-29

Accepted: 2007-10-29

Published Online: 2008-02-04

Published Online: 2008-01-18

Published in Print: 2008-03-01

Prediction and optimization of surface roughness in milling of medium density fiberboard (MDF) based on Taguchi orthogonal array experiments

Abstract

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