Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Superhydrophobic surface on MAO-processed AZ31B alloy with zinc phosphate nanoflower arrays for excellent corrosion resistance in salt and acidic environments

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2024

Superhydrophobic surface on MAO-processed AZ31B alloy with zinc phosphate nanoflower arrays for excellent corrosion resistance in salt and acidic environments

0 Datasets

0 Files

en
2024
Vol 239
Vol. 239
DOI: 10.1016/j.matdes.2024.112769

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Paul Kim Ho Chu
Paul Kim Ho Chu

Institution not specified

Verified
Chao Yang
Chenyu Wang
Xuanzi Zhao
+9 more

Abstract

Corrosion caused by the active chemical properties of magnesium (Mg) alloys seriously restricts their applications in aerospace, transportation, biomedicine, and other fields. Although micro-arc oxidation (MAO) coatings can provide some corrosion protection for Mg alloys, their microporous structure is prone to localized corrosion. Herein, nanoflower-shaped zinc phosphate is prepared and hydrophobically modified. The commercial glue is used to bond the nanoflower-shaped zinc phosphate particle arrays to the MAO-coated AZ31B alloy substrate to produce a two-layer composite coating with superhydrophobic properties. The composite coating exhibits obvious repulsive effects in salt and acidic solutions as indicated by contact angles of 160° and 156°, respectively. The composite coating has improved electrochemical properties and immersion corrosion in both the salt and acidic solutions compared to the substrate and MAO-coated sample. Moreover, the composite coating retains the long-term superhydrophobic effects under different conditions such as immersion in salt and acidic solutions, water scouring, and sunlight exposure, which well indicates commercial applications.

How to cite this publication

Chao Yang, Chenyu Wang, Xuanzi Zhao, Zhao Shen, Min Wen, Chaochao Zhao, Liyuan Sheng, Yaoguang Wang, Daokui Xu, Yufeng Zheng, Paul Kim Ho Chu, Xiaoqin Zeng (2024). Superhydrophobic surface on MAO-processed AZ31B alloy with zinc phosphate nanoflower arrays for excellent corrosion resistance in salt and acidic environments. , 239, DOI: https://doi.org/10.1016/j.matdes.2024.112769.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2024

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1016/j.matdes.2024.112769

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access