TAGUCHI ANALYSIS TO OBTAIN OPTIMAL PARAMETERS FOR SURFACE ROUGHNESS ANALYSIS OF STIR CAST ALUMINIUM MMC

Abstract

In this era of highly growing technology, new advancement in materials is necessary because of requirement of high quality and accuracy. To determine the quality of the product, Surface Roughness is a very important factor. Surface roughness not only enables one to have good surface properties, but gives accuracy to have a desired type of fit. Mechanical properties of composites are also improved like Tensile strength, Fatigue Strength, corrosion resistant, temperature dependent failures (creep). Composite is super material which is having matrix and reinforcement (to improve the quality of matrix), in this research work Al6061 matrix along with SiC (5%) is taken to fabricate the composite. Stir Casting is one of the best composite fabrication process having a mechanical stirrer (Ultrasonic stirrer), it gives mixing up to nanoparticle levels. A cylindrical Work piece of dimensions Diameter (30mm), Length (100mm) is turned on the lathe and divided into 9 segments to measure roughness by changing the machining parameters like cutting Speed, depth of cut, feed rate. By analyzing various research papers three levels of speed (27.23m/min,60.21m/min,94.24m/min), feed(.04mm/rev,.12mm/rev,.20mm/rev), depth of cut (.1mm, .2mm, .3mm) are taken to perform experimental work. This study focuses on optimizing surface roughness by using taguchi method. subsequently, 27 readings are taken into consideration to make a regression model, and ANOVA is done which helps us to predict the Roughness without doing any experimental work. The optimal parameters obtained are Speed=94.24m/min, Depth of cut=.1mm, feed =.0795 mm/rev.