Artificial Neural Network technique to assess tribological performance of GFRP composites incorporated with graphene nano-platelets

Author:

Kumar Santosh,Sharma Nikhil,Singh K.K.

Publisher

Elsevier BV

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering,Mechanics of Materials

Reference64 articles.

1. Tribological behaviour of fibre-reinforced thermoset polymer composites: a review;Kumar;Proc Inst Mech Eng Part L J Mater Des Appl,2020

2. Taguchi’s DOE and artificial neural network analysis for the prediction of tribological performance of graphene nano-platelets filled glass fibre reinforced epoxy composites under the dry sliding condition;Sharma;Tribol Int,2022

3. Experimental and statistical investigation on the wear and hardness behaviour of multiwalled carbon nanotubes reinforced copper nanocomposites;Mahesh;Wear,2022

4. The effects of graphene nanoplatelets on the tribological performance of glass fiber-reinforced epoxy composites;Kumar;Proc Inst Mech Eng Part J J Eng Tribol,2020

5. Carbon nanomaterials in tribology;Zhai;Carbon,2017

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