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Taguchi’s DOE and artificial neural network analysis for the prediction of tribological performance of graphene nano-platelets filled glass fiber reinforced epoxy composites under the dry sliding condition

Nikhil Sharma, Santosh Kumar, Kalyan Kumar Singh

2022Tribology International37 citationsDOI

Topics & Concepts

Materials scienceTribologyTribometerComposite materialScanning electron microscopeTaguchi methodsEpoxySurface roughnessNano-Orthogonal arrayFiberGrapheneNanotechnologyTribology and Wear AnalysisLubricants and Their AdditivesMetal and Thin Film Mechanics
Taguchi’s DOE and artificial neural network analysis for the prediction of tribological performance of graphene nano-platelets filled glass fiber reinforced epoxy composites under the dry sliding condition | Litcius