Optimizing the mean and variance of bead geometry in the wire + arc additive manufacturing using a desirability function method

Wire + arc additive manufacturing is an welding process that uses non-consumable tungsten electrodes to produce the weld. The material used in this study a titanium, carbon, zirconium, and molybdenum alloy physically chemically stable has good performance for use as high-temperature heating element. In study, experiments are designed based on central composite design, single-layer wire performed using alloy. Consequently, 17 beads obtained height, width, left right toe angles, which represent geometry of measured. Based measured geometry, response surface models mean standard deviation four geometries fitted. Mean absolute percentage error 16.6% average implies reasonably well models, optimal settings parameters by desirability function method. At setting, value shows 0.85 close ideal 1.00. This result indicates valid can be via proposed