Prediction Of Thermally Preheated Friction Stirs Welding Joint Of Aluminium Alloy By Ai Technique

Abstract

Aluminium alloys are broadly used in aerospace industry, automotive industry, railways and in marine industry due to its resistance to corrosion, light weight and high strength to weight ratio. Welding strength on aluminium alloy has been always a puzzling by using conventional techniques. In this research, frictions stir welding technique is used to weld two plates of aluminum alloy 8011 having a cross section of 100 x 50 x 5 mm thick. These metals are welded under variation of three control parameters and remaining parameters is fixed. The three control parameters each are two levels has been design their combination for experiment. As per the experiment design work pieces are passed through FSW process and prepare specimen according to ASTM E8 specification.  Specimen was tested for strength properties such as tensile strength respectively. The result of ultimate tensile strength and strength was predicted by Machine Learning Artificial Intelligent (MLAI) technique.