Prediction of the Tensile Load of Drilled CFRP by Artificial Neural Network

Burak Yenigun,Erol Kilickap

doi:10.3390/app8040549

Abstract

The application areas of carbon fiber reinforced plastics (CFRP) have been increasing day by day. The machining of CFRP with incorrect machining parameters leads in huge loss cost and time. Therefore, it is very important that the composite materials are machined with correct machining parameters. The aim of this paper is to examine the influence of drilling parameters on tensile load after drilling of CFRP. The drilling operations were carried out on Computer Numerical Control (CNC) by Tungsten Carbide (WC), High Speed Steel (HSS) and Brad Spur type drill bits with spindle speeds of 1000, 3000 and 5000 rpm and feed rates of 0.05, 0.10 and 0.15 mm/rev. The results indicate that the surface roughness, delamination and thrust force, were affected by drilling parameters therefore tensile load was also affected by the same parameters. It was observed that increase in surface roughness, delamination and thrust force all lead to the decrease of tensile load of CFRP. If the correct drilling parameters are selected; the decrease in tensile load of CFRP can be saved up to 25%. Furthermore, an artificial neural network (ANN) model has been used to predict of tensile load. The results of the ANN model are in close agreement with the experimental results.

Highlights

Composite materials can be defined as materials obtained by combining more than one material with one another without chemical interaction and dissolution to obtain the desired mechanical property
The less wear occurs in the were Tungsten Carbide (WC) drill bit and the heat generated from the friction is moving away from the drilling area rapidly
The thrust force is decreased with the increase of spindle speed and increased with the increase of feed rate

Summary

Introduction

Composite materials can be defined as materials obtained by combining more than one material with one another without chemical interaction and dissolution to obtain the desired mechanical property. Strength, corrosion resistance, electrical resistance, tribological properties, weight, wear resistance of the materials [1]. Along with the developing technology, traditional materials such as metal and ceramics are insufficient and cumbersome for the production of new products [2]. Composite materials can be an alternative to traditional materials. Since the 1960s, the use of composites has increased dramatically in parallel with the development of technology. The Boeing DC-9 aircraft, which is produced in 1965, contains less than 5% by weight of composites. The Boeing A380 aircraft which was produced in

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