Based on simplex algorithm of optimal design, the multicomponent mixture regression model was used to
investigate physical properties of submerged arc welding flux. The effect of complex interaction of seven components
in agglomerated flux on softening temperature was analyzed. The results indicate that the interaction of MgO-Ti02 -
CaCO3-AlZO3 increases the softening temperature of flux, but the additions of CaF2 and ZrOz can decrease the softening
temperature.
Key words: simplex algorithm; multicomponent mixture regression model ; agglomerated flux; softening temperature;
submerged arc welding