Experimental Investigations of Drilling Characteristics of Derlin Using Hard Carbide and HSS Drill Bits—Taguchi and Decision Tree Algorithm

Authors:
Publisher website
Google Scholar
Abstract
The use of thermoplastics has increased in recent years in a variety of fields. Some machining work is necessary to maximize the benefits of the polymer. The thermoplastic material used in this analysis was Derlin (32 mm in diameter and 15 mm in thickness), which was drilled to investigate the drilling characteristics using a Computer Numerical Control vertical milling centre. The experiments were carried out using an L9 orthogonal array with speed, feed, and pecking as input parameters to study its machining characteristics. Hard carbide tools and HSS drill bits were used in the work. Surface roughness and pecking were the outputs investigated. Analysis of variance (ANOVA) and the decision tree algorithm were used to examine the output parameters. According to the Taguchi and Decision Tree algorithm results, the significant factors for surface roughness in hard carbide tools were speed and feed. For HSS drill bits, the main dominating factor for surface roughness was speed. For roundness errors, pecking was the dominant factor. The decision tree was developed from the output, and the accuracy is high.