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...
| Main Authors: | Shaik, N.B., Mantrala, K.M., Narayana, K.L. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23805 / |
| Published: |
Inderscience Publishers
2021
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| 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/23805/ |
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