Modelling of Surface Roughness and Delamination in Drilling PB Panels with Coated Carbide Spade Drills -RSM Approach

Abstract

The aim of this study is to analyze the impact of delamination and roughness of the surface characteristics on drilling particle board (PB) panels in wood composites. Wood composites are many types, such as low-density, medium density, and high density fibreboard. PB panel products are superior to solid wood in various situations due to its comparative advantages. This material is suited for a wide range of interiors and industrial applications. Particleboard (PB) panels are produced using engineered wood. It is made up of wood desolation fibers that are bound with resin using heat and pressure. Wood particles or flakes are mixed with resin and formed into a sheet to create this material. Drilling is a necessary and unavoidable machining process that is often used in manufacturing part assembly. The aim of this study is to study the drilling characteristic of PB boards (delamination, surfaceroughness) using specified cutting parameters. Experiments were conducted according to RSM design using various feed rate, spindle speed condition to analyze the features. Delamination and Surface roughness mathematical models have been developed for PB panel drilling with a spade drill. In drilling operations, the Taguchi method has been employed to develop models within the kind of multiple correlation equations that relate federate, spindlespeed to dependent factors, delamination, and surface roughness. The second-order response surface model had been selected as the most optimal fit for the present study. Analysis of variance is used to investigate delamination and surfaceroughness parameters during PB panel drilling. Analysis of variance revealed a high coefficient of determination (R2) value of 0.995 indicating that the second-order regression model was adequately adjusted for the experimental data. The verification experiment was conducted to confirm that surfaceroughness predicted by the created model was within allowable error.