Microstructure of APS alumina–titania coatings analysed using artificial neural network
Source abstract
Abstract
Abstract An artificial neural network (ANN) methodology is developed to analyse and predict microstructure features of alumina–13 wt.% titania coating. Implementation of ANN is detailed in the case of atmospheric plasma spray process parameters, which are related to alumina, titania, porosity and unmolten particle contents.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: High-Temperature Coating Behaviors · Metal and Thin Film Mechanics · Advanced materials and composites
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (33)
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