Carbon-dioxide corrosion in stainless steel (304L) pipes

Surya Poloju, Pankaj Kumar*, Purushottam Kumar Singh, Santosh Kr. Mishra, Amit Kumar Jain

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research comprehensively addresses challenges associated with carbon dioxide (CO2) corrosion in 304L stainless steel pipes, particularly under high temperatures and elevated CO2 partial pressures. Utilizing advanced simulation techniques with COMSOL Multiphysics, the corrosion behavior of 304L stainless steel is systematically investigated. Critical factors influencing corrosion rates, including operating temperature, reference temperature, initial electrolyte potential, and CO2 partial pressure, are identified. The study proposes practical mitigation strategies, such as employing more resistant materials like duplex stainless steel and applying protective coatings on inner pipe surfaces. The second study focuses on simulating and analyzing CO2 corrosion in 304L stainless steel pipes, aiming to address research gaps. The results facilitate the design and operation of systems utilizing 304L stainless steel in CO2 environments more effectively. Implementing measures to reduce PCO2 can diminish the corrosion rate, extending the system's lifespan.
Original languageEnglish
Title of host publicationProceedings of the Second Congress on Control, Robotics, and Mechatronics: CRM 2024, Volume 2
EditorsPradeep Kumar Jha, Prashant Jamwal, Brajesh Tripathi, Deepak Garg, Harish Sharma
PublisherSpringer Singapore
Pages263-273
Number of pages11
ISBN (Electronic)9789819770946
ISBN (Print)9789819770939
DOIs
Publication statusPublished - 14 Nov 2024

Publication series

NameSmart Innovation, Systems and Technologies
Volume2
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Keywords

  • CO2 corrosion
  • Stainless steels
  • Corrosion inhibitors
  • Carbon dioxide transport
  • Green corrosion inhibitors
  • CO corrosion

ASJC Scopus subject areas

  • General Decision Sciences
  • General Computer Science

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