Regression and Taguchi Analysis of TiO2, MnO and CaF2 on Brinell Hardness Number of Submerged Arc Welding Flux Using Red Mud

After applying the Bayer process, aluminium residue is generated which is called as “Red Mud”. Globally, approximately 250 million tons red mud is produced every year during aluminium production. It persists some industrial compounds like: Fe2O3, TiO2, MnO, CaO, SiO2, Al2O3, etc. These compounds are important ingredient for developing submerged arc welding flux with other elements (CaF2, CaO, TiO2 and water glass as binder). In this paper, Brinell hardness is calculated on weld bead using develop flux. This process is optimized through regression and Taguchi analysis on numerous parameters, i.e. TiO2, MnO and CaF2. We have simulated the practical performance in computational environments using open source Python programming. The results are meeting at 95% of confidence level, and this can be further utilized for developing solution regarding experimentation of submerged arc welding flux.