Prediction model for torque on drilling of metal matrix composites

• Published in: IOP conference series. Materials Science and Engineering 2018-08, Vol.402 (1), p.12190
• Main Authors: Senthilbabu, S, Thiruvazhagan, M, Siddharth, N
• Format: Article
• Language: English
• Subjects: Drill bits; Drilling; Fasteners; Fuzzy logic; Gauges; Machining; Mathematical models; Metal matrix composites; Parameters; Prediction models; Response surface methodology; Roughness; Thrust; Torque; Twist drills
• ISSN: 1757-8981; 1757-899X; 1757-899X
• DOI: 10.1088/1757-899X/402/1/012190

In manufacturing and assembly units, drilling is one of the most important process to make the final form of the product by means of fasteners. The thrust force and drilling torque induced during drilling process affect the quality of holes drilled in the form of roughness, circularity error etc. This paper focuses on the investigation of parameters in drilling that have influence over the torque needed to cut the Metal Matrix Composites (MMC), by variation of the diameter of the twist drill bit, keeping the tip angle and other features in geometry as a constant. Roughness after machining is a key factor when it comes to high precision applications such as manufacturing of gauges in metrological operations. The input parameters include combinations of three different speeds and three different feeds and the output we concentrate on this paper is the torque as indicated by the title itself. The prediction models of the data sets are obtained using Response Surface Methodology and Fuzzy Logic, and the results obtained are compared to the experimental values themselves to see how much the models are accurate in predicting the results.