An Investigation on Developing a Drilling Burr Prediction Model

Presence of burr after a manufacturing process is a potential problem. Prediction of burr size in machining plays an important role in process planning. The present work deals with the study and development of a burr height prediction model during machining aluminium alloy, using Response Surface Methodology (RSM). Drilling parameter such as cutting velocity, feed rate and drill diameter are considered in conducting experiments in a radial drilling machine to find out height of burr formed in aluminium alloy flats. By performing ANOVA, it is found that drill diameter is the most significant factor to influence formation of burr height. Combination of process parameters giving small burr height is found out within the experimental constraints. Three-dimensional surface and contour plots show the variation in burr height with different process parameters. A comparison of modeled and experimental results corresponding to a low burr height shows an error of less than 3%.