Experimental Investigation on Prediction of Hole Quality Characteristics of Aluminum Matrix Composite (AMC225xe)

Abstract

Wide spread applications of composite materials have been significantly growing in aerospace, naval, space, and automotive industries. Drilling of such materials is a challenging task because of differential machining properties and checking the quality of hole is significantly a great attention. In this paper, experimental investigation on prediction of hole quality characteristics of aluminum matrix composite (AMC225xe) during drilling process. The influence of process parameters such as speed, feed rate and coolant flow rate on the surface finish and circularity were investigated during the experimentation. The experiments were conducted according to the Taguchi’s L9 array design using process parameters. The quality of the hole characteristics were measured using roughness tester and CMM. Regression analysis has been carried out for prediction of hole quality characteristics from the experimentation. It is observed that the predicted results are good correlation with measured values. Also, the results indicate that the feed rate is the most influencing parameter for drilling of AMC225xe.

Delamination Analysis Using Digital Image Processing for Developing a Prediction Model for Drilling on GFRP Composite Laminates

“…The digital image processing is eminently used for image analysis, the digital images of GFRP composites are obtained from the flatbed scanner (HP Scanjet 3200c of 1300 DPI capacity), then the images were analysed using imageJ (version 1.4.3.67) -public domain software (National Institute of health,USA) to finding the damage area of the GFRP specimens. In this process both entry and exit of 27 holes were analysed and the damage area was found out and adjustable delamination factor (Fda) is calculated by the formule given below [4]:…”

“…Many of these problems are due to improper selection of process parameters, nonoptimal cutting tool designs, rapid tool wear, and machining conditions [2,3]. The influence of process parameters such as speed, feed rate and coolant flow rate on the surface finish and circularity were investigated using Taguchi's L9 array design [4]. A novel method was used for finding damage area of delamination with the help of digital image processing [5].…”

Predictive Model for Circularity Error of Drilling on GFRP Composite Laminates Using Fuzzy Logic

“…Many of these problems are due to the use of non-optimal cutting tool designs, rapid tool wear and cutting parameters [5,6].Researchers have attempted to model the Circularity prediction using multiple regression, mathematical modeling based on physics of process, fuzzy logic [7].Machining operation being highly nonlinear in nature, soft computing techniques have been found to be very effective for modeling [8].The influence of process parameters such as spindle speed, lubrication and feed rate on circularity error were investigated during the experimentation of Metal matrix composites. The experiments were conducted according to the Taguchi's array design [9]. Fuzzy logic is a mathematical formalism for representing human knowledge involving vague concepts and a natural but effective method for systematically formulating cost effective solutions of complex problems [10].…”