Prediction of corrosion properties of LENSTM deposited cobalt, chromium and molybdenum alloy using artificial neural networks
The corrosion properties of a material play an essential role in the life of metallic components, especially in biomedical and marine engineering applications. Cobalt-chrome-molybdenum alloy, a well-known biocompatible material, has been tested for its potentiodynamic properties. The samples are fab...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Published: |
Inderscience Publishers
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106877575&doi=10.1504%2fIJMPT.2021.115212&partnerID=40&md5=a4333e2876037bcc06ce4da731822d49 http://eprints.utp.edu.my/29539/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|