Corrosion Behavior of LENS Deposited CoCrMo Alloy Using Bayesian Regularization-Based Artificial Neural Network (BRANN)

Corrosion Behavior of LENS Deposited CoCrMo Alloy Using Bayesian Regularization-Based Artificial Neural Network (BRANN)

The well-known fact of metallurgy is that the lifetime of a metal structure depends on the material's corrosion rate. Therefore, applying an appropriate prediction of corrosion process for the manufactured metals or alloys trigger an extended life of the product. At present, the current predict...

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Bibliographic Details
Main Authors: Shaik, N.B., Mantrala, K.M., Bakthavatchalam, B., Gillani, Q.F., Rehman, M.F., Behera, A., Rajak, D.K., Pruncu, C.I.
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108105997&doi=10.1007%2fs40735-021-00550-3&partnerID=40&md5=badd9576d632f1d7d89fce6b617b47de
http://eprints.utp.edu.my/23950/
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Institution: Universiti Teknologi Petronas

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108105997&doi=10.1007%2fs40735-021-00550-3&partnerID=40&md5=badd9576d632f1d7d89fce6b617b47de
http://eprints.utp.edu.my/23950/

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