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Machine learning based surrogate modelling for the prediction of maximum contact temperature in EHL line contacts

Animesh Singh, Marius Wolf, Georg Jacobs, Florian König

2022Tribology International29 citationsDOI

Topics & Concepts

LubricationRange (aeronautics)Artificial neural networkLine (geometry)Correlation coefficientOperating temperatureSurrogate modelAtmospheric temperature rangeTemperature measurementMaterials scienceComputer scienceArtificial intelligenceMachine learningEngineeringMathematicsThermodynamicsGeometryComposite materialPhysicsElectrical engineeringGear and Bearing Dynamics AnalysisTribology and Lubrication EngineeringAdhesion, Friction, and Surface Interactions
Machine learning based surrogate modelling for the prediction of maximum contact temperature in EHL line contacts | Litcius