Main Article Content
Abstract
This paper prescribes that ANN shall be used to determine optimum process parameters for gaseous metal arc welding technology. On the semiautomatic MIG welding system the intended experiments were carried out. The connections are determined between the parameters of the equipment (arc current, arc voltage, welding rate, preheating temperature and protrusion electrode) and the soiling efficiency (depository, hardness and dilution). The Neural Network will use the adaptive simulated rinsing (ASA) optimization algorithm with an output index to look for the best parameters of the system. From the experimental results, it has been concluded that this new technique will help improve welding efficiency.