Application of Artificial Neural Network to Analyze and Predict the Toughness of Shielded Metal Arc Welded Joints under the Influence of External Magnetic Field

Abstract

The present study is concerned with the e ect of welding current, welding voltage, welding speed and external magnetic field on impact strength of shielded metal arc welded mild steel joints. Mild steel plates of 6 mm thickness were used as the base material for preparing single pass butt welded joints. Speed of weld was provided by cross slide of a lathe, external magnetic field was obtained by bar magnets. Impact strength or Toughness properties of the joints fabricated by E-6013 electrodes as metals were evaluated and the results were reported. From this investigation, it was found that the joints fabricated have increased impact strength if either speed of weld or external magnetic field was increased and the impact strength of weld decreased if either voltage or current was increased. An artificial neural network technique was used to predict the impact strength property of the weld for the given welding parameters after training the network.