Research Article
Prediction of the Wall Factor of Arbitrary Particle Settling through Various Fluid Media in a Cylindrical Tube Using Artificial Intelligence
Table 1
Range of conditions covered by the data.
| Source |
Particle shape | Range of Re | Range of fluid properties | Number of data points | | |
| Chhabra and Uhlherr [9] | Sphere | 1.52~13.92 | 0.123 | 0.8 | 29 | Chhabra [19] | Sphere, cylinder, plate, needle, disc and cube | <7 | 0.548~0.91 | 1 | 116 | Arsenijević et al. [4] | Sphere | 53~15100 | 0.001 | 1 | 43 | Fidleris and Whitmore [1] | Sphere | 1971~19205 | 0.001 | 1 | 58 | Atapattu et al. [21] | Sphere | 0.002~0.182 | 3.69~9.3 | 0.43~0.53 | 44 | Bougas and Stamatoudis [2] | Sphere | 13500~77000 | 0.001 | 1 | 30 | Chhabra [20] | Sphere, cylinder, plate, needle, disc and cube | <7 | 0.464, 0.741 | 0.779, 0.79 | 66 | Madhav and Chhabra [18] | Cylinder, needle and rectangular prism | 0.05~150 | 0.092 | 0.965 | 55 | Unnikrishnan and Chhabra [16] | Cylinder | ~1.27 | 1.89, 10.53 | 0.62 | 40 | Unnikrishnan and Chhabra [17] | Cylinder | 0.2~180 | 0.406, 0.49 | 1 | 32 |
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