Работы, цитирующие эту работу

Работ: 2

Работа: Influence of different parameters on the rheological behavior MWCNT (30%)-TiO2 (70%) / SAE50 hybrid nano-lubricant using of response surface methodology and artificial neural network methods

1. Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models

   Yi Ru, Ali B.M. Ali, Karwan Hussein Qader +5

   СтатьяNanofluid Flow and Heat TransferInternational Journal of Thermal Sciences2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000663

2. Using evolutionary algorithms and group method of data handling ANN for prediction of the viscosity MWCNT-ZnO /oil SAE 50 nano-lubricant

   Zuozhi Liu, Ali B.M. Ali, Rasha Abed Hussein +6

   СтатьяLubricants and Their AdditivesInternational Communications in Heat and Mass Transfer2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001563