This study aims to investigate the local corrosion of pipeline elbows under CO2-containing flow to understand how fluid dynamics and geometry affect corrosion rates and to refine predictive models for pipeline integrity.
The research uses a combination of weight loss measurements and in situ electrochemical testing to analyze corrosion behavior. Computational fluid dynamics (CFD) simulations, coupled with a mechanistic model, are used to predict corrosion rates and integrate mass transfer coefficients to reflect local flow field effects. Experimental data is compared with simulation results to validate the accuracy of the predictions.
The study reveals a strong correlation between the distribution of fluid velocity at the elbow and localized corrosion occurrence. The findings demonstrate how fluid dynamic effects and geometric configurations influence the corrosion process. The CFD simulations accurately replicate the corrosion current along the elbow, aligning closely with experimental observations.
This study enhances the understanding of CO2-induced corrosion by integrating CFD simulations with experimental data, providing a refined model for designing and maintaining corrosion-resistant pipelines.
