Regression model for obtaining peak temperature and heat generation during friction stir welding of stainless steel

Abstract

Solid state friction stir welding is the process of combining materials, typically with the aid of a tool. This process makes use of welding materials such as aluminium, stainless steel, and steel steel. A regression model is developed in this study to predict peak temperature and heat generation during stainless steel friction stir welding. This model was built using data from the power required, heat generation (unit length), and peak temperature regression models. There was a high correlation between the required power, heat produced per unit length, and peak temperature predicted by the thermal model and regression model. The required power is proportional to the rotating and welding speeds. At a welding speed of 200 mm/min and a rotational speed of 500 rpm, the maximum power was 3733 W. The amount of heat generated and the highest temperature reached increase as rotational speed and welding speed decrease. The maximum heat generated was 1273 J/mm, attained at the welding speed of 101 mm/min and 500 rpm rotational speed.