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...
| Main Authors: | Shaik, N.B., Mantrala, K.M., Bakthavatchalam, B., Gillani, Q.F., Rehman, M.F., Behera, A., Rajak, D.K., Pruncu, C.I. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23950 / |
| Published: |
Springer Science and Business Media Deutschland GmbH
2021
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| 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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