Geometries and quality assesment of weld beads in 5052-H32 aluminum alloys joined by semiautomated GMAW through a double fuzzy system

In this research, a double fuzzy system is presented. This system is defined to approximate the geometry of the weld bead in a 5052-H32 aluminum alloy together with its quality regarding the parameters of voltage, current, and advance speed of a semiautomated GMAW (gas metal arc welding) process. These three welding process parameters affect crown concavity, root concavity, and penetration. That is, the welding parameters affect the weld bead geometries. This is relevant since the quality of the beads will be affected by the inappropriate selection of the welding parameter values. The main problem in any welding generated by the semi-automated GMAW process is the uncertainty in the quality of the weld beads; this occurs because the parameters have an inherent variation that affects the generation of the weld beads. Several researchers agree that welding processes have non-linear behavior, inherent variability, and non-normal conditions to satisfy the use of statistical techniques. In addition, these processes are complex due to thermal, electrical, and mechanical phenomena during welding. For this reason, this research proposes to use soft computing techniques, specifically fuzzy logic. This technique is defined for the analysis and inference of the geometry of the weld bead in the 5052-H32 aluminum alloy semi-automated GMAW process.