Synergistic Effect of the Total Acid Number, S, Cl, and H₂O on the Corrosion of AISI 1020 in Acidic Environments

Abstract

The corrosive environment in sulfur-containing equipment is often complicated and changeable. This study adopted the Taguchi method to optimize the immersion test, and the L 27 (3 13 ) orthogonal table was used to design an immersion corrosion experiment. The influence of four factors, namely, the total acid number (TAN), sulfur, chlorine, and water, on the corrosion of AISI 1020 in the oil phase was studied. It showed that the effect of chlorine is the most pronounced and that of sulfur is second followed by that of the TAN and H 2 O. It was also found that the effect of H 2 O exceeds that of the TAN after 336 h; meanwhile, the interaction between the four factors varies over time and stabilizes after 336 h. Moreover, corrosion rate curves reveal that the stable corrosion product film formed on the metal surface gradually slows down the corrosion process. Analysis of corrosion morphology and product composition was done by scanning electron microscopy and energy-dispersive X-ray spectroscopy. Overall, the synergistic effect of the corrosion rate changing with time provides a certain reference for the corrosion protection of sulfur-containing storage equipment.

Orthogonal Preparation of SrFeO3-δ Nanocomposites as Effective Oxygen Transfer Agents for Chemical-Looping Steam Methane Reforming

“…Because there are many synthesis parameters, optimizing the synthesis parameters is always formidably time-consuming and costly. To vary multiple factors simultaneously with a relatively small number of experimental runs and estimate separately the effect of each factor on a response variable, the orthogonal experiment design (also known as the Taguchi design method) was used in this work because it is a highly efficient approach to deal with multifactor experiments and identify the optimal levels (settings) by an orthogonal design table. − It selects representative points from full factorial experiments in such a way that they are uniformly distributed in the testing range. Thus, the points can represent the overall situation and are highly efficient for the arrangement of multifactor experiments.…”