Metal droplet transfer in flux cored are welding (FCAW) was studied us
ing electrical are signals and droplets collected from the welding pro
cess. A large number of metal droplets from the FCAW experiments was c
ollected. According to the size distribution of the droplets, several
metal transfer modes could be identified amongst which spray transfer
predominated. The electrical are signals, in particular, voltage, were
processed using the fast Fourier transform (FFT) technique. Character
istic spectral frequencies corresponding to different metal transfer m
odes were identified. The size distribution of the collected droplets
correlated extremely well with these characteristic frequencies. The e
lectrode melt rate, calculated using the characteristic frequencies id
entified from the FFT analysis, agreed closely with the measured melt
rate. Results from the are signal analysis and the FFT analysis showed
that both are voltage fluctuations (Delta u) and characteristic frequ
encies of the FFT spectra were adequate to distinguish the different k
inds of metal transfer modes in FCAW. Metal transfer mode maps, constr
ucted using the two sets of results, were used to determine the optima
l parameters for E71T-1, 1/16-in.-diameter electrode, and Ar-25%CO2 sh
ielding gas.