Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems

Abstract Welding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The welding process is more reliable by automating with robots. In this research work, GMAW automated ‘Fanuc Robot Arc mate 100iC/12’ robot. material characteristics such as ultimate tensile strength, hardness, impact strength weldments are predicted using a fuzzy system triangular membership function (TrMF) trapezoidal (TMF). simulated results validated comparing experimental experiments designed orthogonal array L18, studied fractography test. trained IF-Then rule base help L18 array. inference has accuracy rate weldment mechanical properties, showing lower error rate.