Artificial intelligence modelling and analysis of pivotal parameters in drilling hybrid fiber composite (HFC)

• Main Authors: Nagarajan Visveshwar, Kumar Vignesh, Samsingh Vimal
• Format: Article
• Language: English
• Published: University of Belgrade - Faculty of Mechanical Engineering, Belgrade 2017-01-01
• Series: FME Transactions
• Subjects: hybrid composites; fuzzy model; artificial intelligence modelling
• Online Access: https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921704641N.pdf

Composite materials have the perk of combining a number of properties, which are not usually found together in a single material. The Hybrid Fiber composite solves the increasing need for Eco friendly materials coupled with high durability and strength. HFC has a wide range of applications in the field of aerospace, auto motives, civil constructions and electronics at a cost, which is lower than that of the traditional fibers like GFRP. Drilling is one of the primary operations adopted by industries for material working and component building. In this paper, the seminal process parameters - spindle speed, feed rate and the drill diameter are analysed and a Fuzzy model is burgeoned predicting the Thrust force and Torque for drilling Hybrid fiber Composite (HFC). The results indicate that the Fuzzy prediction model is effective and facilitates a better and easier artificial intelligence modelling.