Design of a Ni-based superalloy for laser repair applications using probabilistic neural network identification

Design of a Ni-based superalloy for laser repair applications using probabilistic neural network identification

A neural network framework is used to design a new Ni-based superalloy that surpasses the performance of IN718 for laser-blown-powder directed-energy-deposition repair applications. The framework utilized a large database comprising physical and thermodynamic properties for different alloy compositi...

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Bibliographic Details
Main Authors: Freddie Markanday, Gareth Conduit, Bryce Conduit, Julia Pürstl, Katerina Christofidou, Lova Chechik, Gavin Baxter, Christopher Heason, Howard Stone
Format: Article
Language:English
Published: Cambridge University Press 2022-01-01
Series:Data-Centric Engineering
Subjects:
additive laser methods
alloy design
neural networks
nickel alloys
repair methods
Online Access:https://www.cambridge.org/core/product/identifier/S2632673622000314/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2632673622000314/type/journal_article

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