Study on mechanism underlying the acceleration of pitting corrosion of B30 copper–nickel alloy by sulfate-reducing bacteria in seawater

Wang, Jian; Li, Huan; Du, Min; Sun, Mingxian; Ma, Li

doi:10.1016/j.scitotenv.2024.172645

Science of The Total Environment

2024

DOI: 10.1016/j.scitotenv.2024.172645

|View full text |Cite

Study on mechanism underlying the acceleration of pitting corrosion of B30 copper–nickel alloy by sulfate-reducing bacteria in seawater

Jian Wang,

Huan Li,

Min Du

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 5 publications

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Optimization Strategies for Corrosion Management in Industries with Artificial Neural Network and Response Surface Technology: A Comprehensive Review

Kumari,

Lavanya

2024

J Bio Tribo Corros

View full text Add to dashboard Cite

The rising cases of corrosion problems in pipelines, refineries, water treatment and petrochemical plants, as well as in power generation plants in recent time have been attributed to industrialization. The longevity and dependability of essential assets must be ensured through effective corrosion management. The various techniques applied for corrosion protection are discussed in this review. But in recent years, the development of response surface methods (RSM) and artificial neural networks (ANN) has shown exciting prospects to transform the corrosion monitoring process. This review paper gives a thorough overview of corrosion optimisation strategies. The role of ANN and RSM in predicting corrosion using various parameters is discussed. By providing insights into the current state of research on ANN, this paper aims to promote a deeper understanding. The review emphasises how crucial it is to adequately manage corrosion if essential assets are to last a long time and function consistently.

show abstract

Optimization Strategies for Corrosion Management in Industries with Artificial Neural Network and Response Surface Technology: A Comprehensive Review

Kumari,

Lavanya

2024

J Bio Tribo Corros

View full text Add to dashboard Cite

show abstract

An S2--responsive coating on 70Cu-30Ni alloy for suppressing microbiologically influenced corrosion induced by sulfate-reducing bacteria

He,

Qiu,

et al. 2025

Applied Surface Science

View full text Add to dashboard Cite

Investigations of the thermal oxidation behavior of B30 copper-nickel alloy under air conditions

Sun,

Xie,

Chen

et al. 2024

Materials Letters

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Study on mechanism underlying the acceleration of pitting corrosion of B30 copper–nickel alloy by sulfate-reducing bacteria in seawater

Cited by 5 publications

References 26 publications

Optimization Strategies for Corrosion Management in Industries with Artificial Neural Network and Response Surface Technology: A Comprehensive Review

Optimization Strategies for Corrosion Management in Industries with Artificial Neural Network and Response Surface Technology: A Comprehensive Review

An S2--responsive coating on 70Cu-30Ni alloy for suppressing microbiologically influenced corrosion induced by sulfate-reducing bacteria

Investigations of the thermal oxidation behavior of B30 copper-nickel alloy under air conditions

Contact Info

Product

Resources

About