Influence of Hydrodynamic Condition on Co-inhibitive Behavior of Sodium Silicate and HEDP for Corrosion Control of Carbon Steel Pipes
Publish place: 10th Iranian National Corrosion Congress
Publish Year: 1386
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,752
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
INCC10_029
تاریخ نمایه سازی: 4 اسفند 1387
Abstract:
A study and comparison of inhtbition effects of eco-friendly inhibitors of sodium silicate, 1-hydroxyethylidene 1,1 diphosphonic acid (HEDP) and their combination in corrosion control of carbon steel in soft water media have been carried out using electrochemical impedance spectroscopy and Tafel polarization techniques. The experiments carried out under d.i:fIerent concentration ratios of inhibitors and hydrodynamic conditions. Rotating disk: electrode was used to simulate pipeline fluid flow. It was observed that corrosion inhibitors combinations have shown synergistic effect at low concentrations. The inhtbition efficiency and synergistic behaviours of inhibitors have been enhanced as the electrolyte turbulence was increased. It was found that at 20ppm sodium. silicate and Sppm HEDP the co-inhibition efficiencies have increased significantly to more than 90% and the corrosion rate decreased fin below
than Impy as the electrode rotational speed increased. Scanning electron microscopy (SEM) and EDAX analysis have also been used for surface studies. Surface studies revealed the surface modification and formation of compact and uniform film in case of inhibitors co-addition.
Keywords:
Authors
M Salasi
Corrosion Laboratory, Department of Materials Engineering, Tarbiat MtJdares University, Tehran-Iran
T Shahrabi
Corrosion Laboratory, Department of Materials Engineering, Tarbiat MtJdares University, Tehran-Iran
E Roayaei
Researches and Technology Directorate, National Iranian Oil Company, Tehran-Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :