Research data supporting "Design of a Ni-based Superalloy for Laser Repair Applications using Probabilistic Neural Network Identification"
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Design of a novel Ni-based superalloy for additive repair application using neural network optimisation. This data set includes the raw files for the test methods used for this manuscript. The test methods include: XRD, TGA and DSC. These data are included as text files and can be read into any appropriate software.
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Igor - import txt file
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Except where otherwised noted, this item's license is described as Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)
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The authors acknowledge funding from the Engineering and Physical Sciences Research Council and from Rolls-Royce plc. G.J.C acknowledges funding from the Royal Society. The authors also wish to acknowledge the Henry Royce Institute for Advanced Materials, funded through EPSRC grants EP/R00661X/1, EP/S019367/1, EP/P02470X/1 and EP/P025285/1, for Aconity3D Mini access at The University of Sheffield.