Table 2 Some modeling of ANNs for TC of nanofluids
Ref. | NPs | Base fluid | accuracy | Description |
|---|---|---|---|---|
[39] | Al2O3 | EG | R2 = 0.9997 | The SVF was 0–2% by and T = 25–60° C |
[40] | The Al2O3, ZnO- CuO | Water | The proposed ANN model had up to 2% error | SVF and T were considered as inputs and ANN as TC outputs |
[41] | Al2O3-TiO2- CuO | (CMC) | The average TC prediction data error was 1.6% with a maximum 5.8% error | TC of NFs does not show a significant increase for SVF up to 1.5% |
[42] | MWCNTs | Oil (a-olefin) | AAD% = 2.79 | ANN results are compared with other models |
Decene (DE) | AAD% = 2.5 | |||
Distilled water (DW) | AAD% = 3.64 | |||
EG | AAD% = 1.86 | |||
[43] | ZnO | EG | R2 > 0.99 | MLP-ANNs were used and 40 data were utilized for training, testing, and validation |