Predictive Modeling and Experimental Optimization of the Electrodeposition-Sintering Process for Functional Ceramic Coatings.

This study focuses on optimizing a sol-gel based electrodeposition-sintering process for producing yttria-stabilized zirconia (YSZ) ceramic coatings on stainless steel substrates. Four key process variables-precursor concentration, current density, sintering time, and temperature-were evaluated in terms of two response variables: R (electrodeposition yield) and S (sintering yield). A fractional factorial design was used to reduce the number of experiments while enabling robust statistical modeling. Multiple linear regression analysis revealed that precursor concentration and current density were the most influential factors for both R and S, whereas sintering time and temperature had a lesser effect. Under central conditions (42.9 g·L, 1.5 A·cm, 500 °C, 20 min), coatings exhibited yields of ~3.9 mg·cm and superior morphological uniformity. Higher current density (3 A·cm) increased R to 6.9 mg·cm but induced porosity and cracking. Compared to conventional sol-gel derived coatings, the proposed methodology enables a more controlled microstructure with a trade-off between mass deposition and structural integrity. This predictive, statistically validated approach facilitates the optimization of electrodeposition parameters to obtain defect-minimized ceramic coatings, particularly suited for protective and thermal barrier applications in demanding environments.