Optimization of FCAW Process Parameters using A Non-Traditional Technique

Weld cladding is a process of depositing a thick layer of metal surface to a carbon steel base metal for the purpose of providing a corrosion resistant surface when that surface is to be exposed to a corrosive environment. In cladding process, most of the engineers often face the problem of selecting optimum combination of input process parameters for achieving the required clad quality. This problem can be solved by using Genetic Algorithm (GA) technique to optimize the process parameters to achieve minimum dilution and penetration, maximum bead width and reinforcement. This paper focuses on an optimization of input process parameters in duplex stainless steel cladding of low carbon structural steel plates deposited by Flux Cored Arc Welding (FCAW).