An Unique Approach To Predict Tensile Strength For Aluminum Alloy Using Fuzzy Logic

ABSTRACT In recent years, Aluminum alloys are the most widely used material in automobile and other industries. The advantages of aluminum alloys are its less density and outstanding combination of mechanical, physical and tribological properties. In this paper a unique approach to predict tensile strength properties of aluminum alloys under room temperature to elevated condition using the fuzzy logic tool in MATLAB software is carried out. The tensile strength for various aluminum alloys available in the literatures are used as database in this research work. The developed model was validated with the previously published work. Keywords: Aluminum alloy, high temperature condition, Tensile strength, mechanical properties, fuzzy logic. 1. INTRODUCTION In recent legislative and environment pressure on the automobile industry to produce light weight, fuel efficient vehicle with lower emission have prompted to design for more efficient engines. Al-Si alloys are most versatile materials. Their properties include high specific strength, high wear and seizure resistance, high stiffness, better strength at high temperature, controlled thermal expansion coefficient and improved damping capacity. This leads to their excessive use in many automobile and engineering sectors where wear & tear and seizure are the major problems. Such problems are very common in some of the components like cylinder heads, pistons, connecting rods and drive shafts [1,2].Aluminum alloys are distinguished according to their major alloying elements.The4xxx group contains silicon as the main alloying element for ease of casting. Silicon performs well when used as an alloying element with metals. This is because it increases the fluidity of the melt, reduces the melting temperature, decreases the shrinkage during solidification and is in expensive as a raw material. Silicon also has a low density (2.34 g/cm