Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Distribución de Rosin-Rammler× | Curva de Tromp× | |
|---|---|---|
| Campo | Ingeniería de minas | Ingeniería de minas |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1933 | 1937 |
| Autor original≠ | Paul Rosin and Erich Rammler | K. Tromp |
| Tipo≠ | Empirical probability distribution for crushed material fineness | Empirical model for size classifier performance |
| Fuente seminal≠ | Rosin, P., & Rammler, E. (1933). The laws governing the fineness of powdered coal. Journal of the Institute of Fuel, 7, 29-36. link ↗ | Tromp, K. (1937). Separation of fine particles from slurries by hydrocyclone. Colliery Guardian, 155(4), 251-256. link ↗ |
| Alias | Rosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size) | Partition Curve, Classification Efficiency Curve, Grade Recovery Curve |
| Relacionados | 3 | 3 |
| Resumen≠ | 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. | 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. |
| ScholarGateConjunto de datos ↗ |
|
|