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Browsing by Panigrahi, B. B.Author

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Artificial neural network modeling on the relative importance of alloying elements and heat treatment temperature to the stability of alpha and beta phase in titanium alloys

Reddy, N. S.; Panigrahi, B. B.; Choi, Myeong Ho; Kim, Jeoung Han; Lee, Chong Soo

ArticleIssue Date2015CitationComputational Materials Science, v.107, pp 175 - 183PublisherElsevier BV
SCOPUS
Modeling Mechanical Properties of low carbon hot rolled steels

Reddy, N. S.; Panigrahi, B. B.; Krishnaiah, J.

ArticleIssue Date2012CitationAdvances in Intelligent Systems and Computing, v.202, pp 221 - +PublisherSpringer
SCIESCOPUS
Neural Network-Based Modeling of the Interplay between Composition, Service Temperature, and Thermal Conductivity in Steels for Engineering Applications

Ishtiaq, M.; Tiwari, S.; Panigrahi, B. B.; Seol, J. B.; Reddy, N. S.

ArticleIssue Date2024CitationInternational Journal of Thermophysics, v.45, no.10PublisherKluwer Academic/Plenum Publishers
SCIESCOPUS
Quantitative estimation of corrosion rate in 3C steels under seawater environmentopen access

Lee, Sedong; Narayana, P. L.; Bang, Won Seok; Panigrahi, B. B.; Lim, Su-Gun; Reddy, N. S.

ArticleIssue Date2021CitationJournal of Materials Research and Technology, v.11, pp 681 - 686PublisherElsevier Editora Ltda
SCIESCOPUS
Quantitative estimation of corrosion rate in 3C steels under seawater environment (vol 11, pg 681, 2021)open access

Lee, Sedong; Narayana, P. L.; Bang, Won Seok; Panigrahi, B. B.; Lim, Su-Gun; Reddy, N. S.

ArticleIssue Date2021CitationJournal of Materials Research and Technology, v.12, pp 1844 - 1844PublisherElsevier Editora Ltda
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