Thermal Processes in Welding

Research of Properties of the Metal of the Heat-Affected Zone for Surfacing by Stape Electrode With the Controlled Transfer of the Electrode Metal

“…Since the distribution of thermal power can be taken uniform across the width of the tape electrode, the heat input into the seam and its distribution along the depth of the heat-affected zone can be considered as an example of a local section of the tape electrode. For a periodic moving point source on the surface of a semi-infinite body with a rectangular pulse duration t p , a period t c , and a pulse power q p (averaged power q 0 =q p t p /t c ), where the temperature field is described by the expression [1]:…”

“…The quality of the deposited layer is determined by the conditions of its formation, as well as the properties of local zones, due to the parameters of the thermal cycle of surfacing (mechanical, microstructural, chemical, etc.) [1]. When surfacing the austenitic layer on pearlitic steels, the properties of the heat-affected zone, along with the resistance of the surface layer to corrosion, largely determine the performance and durability of the deposited product.…”

Calculation of the penetration zone geometric parameters at surfacing with a strip electrode

“…Paper [6] reports results of research into control over the depth of penetration and the share of the main metal's participation by changing the parameters of the mode at MIG and TIG-welding with a wire electrode [7,8]. However, the dynamic properties of the power source were not investigated regarding a strip electrode.…”

Artificial Neural Network Controlled GMAW System: Penetration and Quality Assurance in a Multi-Pass Butt Weld Application

“…However, precise manufacturing tolerances are often difficult to achieve, and the extra work required can increase production costs significantly. Additionally, heat distortions may reduce or increase the root gap of the seam during welding, creating constantly changing welding conditions [8,9]. A more effective and cost-efficient way to reach the demanded quality requirements is to mimic manual welding behavior, i.e., sense the upcoming seam and optimize the welding parameters according to the welding conditions [10][11][12].…”