Modeling for prediction of surface roughness in drilling MDF panels using response surface methodology

Abstract

Medium density fiberboard (MDF) panels are an industrial wood product which belongs to wood-based composite. MDF panels are made with wood fibers clued together with resin by heat and pressure. Nowadays the MDF products are preferred over solid wood in many applications due to certain comparative advantage and mainly used in furniture industry. This article discusses the use of Taguchi and response surface methodologies for predicting the surface roughness in drilling MDF material by a physical vapor deposition TiN coated carbide step drill bits. The experiments are conducted based on Taguchi’s experimental design technique. The drilling parameters used are spindle speed, feed rate, and drill diameter. The effect of drilling parameters on the surface roughness is evaluated and discussed in detail. The second order model has been established between the drilling parameters and the surface roughness using response surface methodology. The experimental result reveals that the most significant drilling parameter for the surface roughness is feed rate followed by the cutting speed. The predicted values and measured values are fairly close which indicates that the developed model can be effectively used to predict the surface roughness in the drilling of MDF panels. The predicted results are validated by using validation experiments.

Optimization of Process Parameter for Sawdust/Recycled Polyethylene Composites

“…This rather abrupt change in temperature may have caused a post press spring back effect that tore the polymer melt and reduce bond between sawdust particles and plastic. This effect is expected to become more pronounced with higher pressure [7]. L1, L2 and L3 represent average values raw data at levels 1,2 and 3, respectively, of parameters.…”

“…Tabarsa et al [6] have concluded that increasing press time and moisture content of the particleboard decreases the surface roughness. Prakash et al [7] have formulated a mathematical model for the prediction of surface roughness in drilling Medium Density Fiberboard (MDF) panel. Their results showed that the surface roughness increased with decreased spindle speed and increased feed rate.…”

EVALUATION OF SURFACE ROUGHNESS PARAMETERS (Ra, Rz) IN DRILLING OF MDF COMPOSITE PANEL USING BOX-BEHNKEN EXPERIMENTAL DESIGN (BBD)

“…RSM is the collection of mathematical and statistical techniques that are useful for the modeling and analysis of problems in which a response of interest is influenced by several variables and the objective is to optimize this response [13].RSM also quantifies the relationship between the controllable input parameters and the obtained response surfaces [14][15].The design procedure of RSM is as follows [16][17] 1. Designing a series of experiments for adequate and reliable measurements of the response of interest.…”

“…So, to obtain a more precise regression model judgment, the co efficient of determination R 2 is adjusted for the degrees of freedom. The adequacy of the model has also been investigated by the examination of residuals [15].The residuals, which are the difference between the respective observed responses and the predicted responses, are examined using the normal probability plots of the residuals and the plot of residuals versus predicted response. The normal probality plot is represented in Fig.8.…”

“…Tabarsa et al [14] have concluded that increasing press time and moisture content of the particleboard decreases the surface roughness. Prakash et al [15] have formulated a mathematical model for the prediction of surface roughness in drilling Medium Density Fiber board (MDF) panel. Their results show that the surface roughness increases with decrease of spindle speed and increase of feedrate.…”