TY - EJOU AU - Wang, Jiabin AU - Wang, Rundong AU - Tong, Xingda AU - Hao, Shaopeng AU - Yan, Bo AU - Wang, Zhihui TI - A Unified Semi-Empirical Model for Low-Velocity Corrosion Mitigation and High-Velocity Erosion Enhancement in CO2-Containing Environments T2 - Fluid Dynamics \& Materials Processing PY - VL - IS - SN - 1555-2578 AB - This study develops a unified, material-specific semi-empirical framework to describe both low-velocity corrosion mitigation and high-velocity erosion-corrosion enhancement in CO2-containing environments. L360, 20# and X65 steels were investigated using static weight-loss and electrochemical tests, together with dynamic erosion-corrosion experiments and SEM/EDS characterization. Static tests were conducted at total pressures of 3–7 MPa, CO2 partial pressures of 4–60 kPa, and temperatures of 10–60°C, while dynamic tests were performed at 3.5 MPa total pressure, 40 kPa CO2 partial pressure, and 25°C, over velocities of 0–50 m/s and impingement angles of 0–80°. Static corrosion rates increased with increasing CO2 partial pressure and temperature. Under dynamic conditions, corrosion rates initially decreased with velocity, indicating a low-velocity mitigation effect, before increasing at higher velocities as erosion became increasingly influential, with the maximum measured rate occurring at an impingement angle of 45°. Because SEM/EDS evidence did not establish the presence of a crystalline FeCO3-dominated protective film, the low-velocity behavior was represented phenomenologically through a surface-coverage/deposit effect rather than attributed to a specific scale-growth mechanism. The resulting model combines a de Waard-type static corrosion baseline with exponential coverage-induced mitigation, a critical-velocity erosion enhancement term, and a modified Finnie angular function. Applied to the present dataset, the framework achieved an R2 of 0.9308 and a Root Mean Square Error (RMSE) of 0.0319. KW - CO2 corrosion; pipeline steel; flow velocity; erosion-corrosion; surface coverage; coupled model DO - 10.32604/fdmp.2026.087557