Automated Tungsten Inert Gas Welding Process using Fuzzy Logic Operation

Industrial welding processes involve significant human inputs that consequently include a deviation in the accuracy of the system and risk of human errors. Automation for welding processes lessens the possibility of obtaining human welding errors and improves workplace safety due to less human interaction. The study utilizes fuzzy logic operation to control the welding process by setting categorical inputs and outputs based on the function applied to the fuzzy logic. The input parameters and output values will adjust the welding device accordingly for the duration of the process.