Research Article
Prediction and Analysis of PDC Bit Wear in Conglomerate Layer with Machine Learning and Finite-Element Method
Table 1
Attribute parameters of polycrystalline diamond and conglomerate.
| Parameter name | Polycrystalline diamond | Conglomerate |
| Density (kg·m−3) | 3520 | 2540 | Elastic modulus (MPa) | | | Poisson’s ratio | 0.07 | 0.27 | Thermal conductivity (J·m−1·s−1·°C−1) | 543.0 | 3.5 | Specific heat capacity (J·kg−1·°C−1) | 790.0 | 800.0 | Coefficient of thermal expansion (10−6°C) | 2.5 | 52.0 | Compressive strength (MPa) | 270.0 | 67.6 | Wear coefficient | | |
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