Using artificial intelligence to predict the tribology behavior of MoS2-Al2O3 hybrid nanofluid
Jiaqi He,
Huijian Li,
Huajie Tang
et al.
Abstract:Artificial intelligence algorithms including two artificial neural network and two machine learning algorithms were employed to predict the four-ball tribology behavior of MoS2-Al2O3 hybrid nanofluid. MoS2-Al2O3 composite nanoparticles were synthesized using solvothermal method and then dispersed in water-based fluids. 27 groups of tribology tests were conducted according to Box-Behnken experimental design were set as the training groups. The input variables (velocity of friction pairs, test force, test temper… Show more
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