Prediction of Delamination in End Milling of GFRP Using ANSYS

The use of Glass Fiber Reinforced Plastics (GFRP) has increased manifold over the last few years. Generally developed for aerospace and other high-end applications, composites are now making inroads into the automotive and general engineering markets. Thus good quality and cost-effective manufacturing of GFRP composites becomes imperative. One of the machining process milling is the most practical operation available for producing an accurate shape and high quality surface. Delamination is recognized as one of the most critical defects that can result from the machining of composites. Delamination due to milling has been a major research for many years and a considerable amount of work has been done to reduce it by statistical means. A lot of experimental work has to be done in order to know the optimal cutting conditions with respect to factors on delamination, which is cumbersome. These necessities a need for developing suitable prediction model in order to reduce the number of experiments being conducted to determine the optimal values for various applications. In this study a suitable prediction model for milling of GFRP has been developed using Ansys 11 Software. In order to understand the effects of process parameters on the delamination milling experiments using K10 end mill on three different types of GFRP with different speed, feed and depth of cut has been performed and analyzed using FEM model. Using FEM model the desired cutting parameters for minimized appearance of delamination in different GFRP has been developed and its value has been compared with the experimental values. It has been found out that the discussed FEA model results are close to be experimental result

Taguchi Analysis of surface roughness and delamination associated with various cemented carbide K10 end mills in milling of GFRP

This Paper presents a study of surface roughness, precision and delamination factor in use of Ti-Namite carbide K10 endmill, Solid carbide K10 end mill and Tipped Carbide K10 end mill. A plan of experiment based on Taguchi was establishedwith prefixed cutting parameters and the machining was performed. An Surfcoder to examine the surface roughness and InfraredThermography to examine the delamination of chopped Glass fiber-reinforced plastic (GFRP) laminates was used.Earlier works reports that cutting velocity and feed rate makes significant contribution to overall performance. But, theexperimental results of this paper indicates that the depth of cut are recognised to make the most significant contribution tothe overall performance as compared to cutting velocity and feed rate. The objective was to establish a correlation betweencutting velocity, feed rate and depth of cut with surface roughness and delamination in a GFRP laminate. The correlationwas obtained by multiple-variable linear regression using Minitab14 software

Prediction of surface roughness and delamination in end milling of GFRP using mathematical model and ANN

107-120Glass fiber reinforced plastics (GFRP) composite is considered to be an alternative to heavy exortic materials. Accordingly, the need for accurate machining of composites has increased enormously. During machining, the reduction of delamination and obtaining good surface roughness is an important aspect. The present investigation deals with the study and development of a surface roughness and delamination prediction model for the machining of GFRP plate using mathematical model and artificial neural network (ANN) multi objective technique. The mathematical model is developed using RSM in order to study main and interaction effects of machining parameters. The competence of the developed model is verified by using coefficient of determination and residual analysis. ANN models have been developed to predict the surface roughness and delamination on machining GFRP components within the range of variables studied. Predicted values of surface roughness and delamination by both models are compared with the experimental values. The results of the prediction models are quite close with experiment values. The influences of different parameters in machining GFRP composite have been analyzed

Sliding wear behavior of plasma nitrided Austenitic Stainless Steel Type AISI 316LN in the temperature range from 25 to 400 degrees C at 10(-4) bar

There is a research knowledge gap for the dry wear data of nitride treated Stainless Steel in high temperature and high vacuum environment. In order to fill this gap, plasma nitriding was done on austenitic Stainless Steel type AISI 316LN (316LN SS) and dry sliding wear tests have been conducted at 25 degrees C, 200 degrees C and 400 degrees C in high vacuum of 1.6 x 10(-4) bar. The two different slider material (316LN SS and Colmonoy) and two different sliding speeds (0.0576 m/s and 0.167 m/s) have been used. The tribological parameters such as friction coefficient, wear mechanism and volume of metal loss have been evaluated. Scanning Electron Microscopy (SEM) was used to study the surface morphology of the worn pins and rings. Electronic balancing machine was used to record the mass of metal loss during wear tests. The 2D optical profilometer was used to measure the depth of the wear track. The Plasma Nitride treated 316LN SS rings (PN rings) exhibit excellent wear resistance against 316LN SS pin and Colmonoy pin at all temperatures. However, PN ring vs. Colmonoy pin Pair shows better wear resistance than PN ring vs. 316LN SS pin Pair at higher temperature. (C) 2012 Elsevier B.V. All rights reserved