Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Curva de Tromp× | Distribución de Rosin-Rammler× | |
|---|---|---|
| Campo | Ingeniería de minas | Ingeniería de minas |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1937 | 1933 |
| Autor original≠ | K. Tromp | Paul Rosin and Erich Rammler |
| Tipo≠ | Empirical model for size classifier performance | Empirical probability distribution for crushed material fineness |
| Fuente seminal≠ | Tromp, K. (1937). Separation of fine particles from slurries by hydrocyclone. Colliery Guardian, 155(4), 251-256. link ↗ | Rosin, P., & Rammler, E. (1933). The laws governing the fineness of powdered coal. Journal of the Institute of Fuel, 7, 29-36. link ↗ |
| Alias | Partition Curve, Classification Efficiency Curve, Grade Recovery Curve | Rosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size) |
| Relacionados | 3 | 3 |
| Resumen≠ | 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. | The Rosin-Rammler Distribution, introduced by Paul Rosin and Erich Rammler in 1933, is an empirical probability distribution that describes the particle size distribution of ground or crushed materials. It characterizes fineness by two parameters: the characteristic size (d-prime) and the uniformity index (n). This distribution is remarkably accurate for mineral processing streams and is ubiquitous in comminution engineering. |
| ScholarGateConjunto de datos ↗ |
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