Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Mazgājamības analīze× | Trompa līkne× | |
|---|---|---|
| Nozare | Kalnrūpniecības inženierija | Kalnrūpniecības inženierija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1950 | 1937 |
| Autors≠ | Mining Industry Practice (1930s-1960s) | K. Tromp |
| Tips≠ | Separation analysis by density fractionation | Empirical model for size classifier performance |
| Pirmavots≠ | McCullough, R. B. (1963). The theoretical basis and practical application of coal washability studies. Transactions of the Society of Mining Engineers, 226, 13-26. link ↗ | Tromp, K. (1937). Separation of fine particles from slurries by hydrocyclone. Colliery Guardian, 155(4), 251-256. link ↗ |
| Citi nosaukumi | Coal Washability, Density Separation Analysis, Float-Sink Analysis | Partition Curve, Classification Efficiency Curve, Grade Recovery Curve |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | Washability analysis is a laboratory method that determines the feasibility and efficiency of density-based separation for coal or mineral beneficiation. By fractionating ore or coal into density bins using sink-float tests and assaying each fraction, engineers can optimize design of separation plants (dense-medium cyclones, jigs, spirals) and predict clean product quality. Washability curves are essential tools for pre-feasibility and detailed design studies. | The Tromp Curve, introduced by K. Tromp in 1937, is an empirical model that quantifies the performance of size classifiers (cyclones, screens, jigs) by showing the fraction of particles at each size that report to the target stream (overflow or underflow). It is universally used in mineral processing to evaluate classifier performance, design circuits, and diagnose operational problems. |
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