Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Cinétique de flottation× | Distribution de Rosin-Rammler× | |
|---|---|---|
| Domaine | Génie minier | Génie minier |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1935 | 1933 |
| Auteur d'origine≠ | Garcia-Zuniga | Paul Rosin and Erich Rammler |
| Type≠ | First-order kinetic model for flotation recovery | Empirical probability distribution for crushed material fineness |
| Source fondatrice≠ | Garcia-Zuniga, H. (1935). Uber eine neue Methode, zur Berechnung der Flotationsausbeute. Zeitschrift fur Praktische Geologie, 43(2), 12-19. 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 | Batch Flotation Model, Flotation Rate Constants, Kinetic Flotation Analysis | Rosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size) |
| Apparentées | 3 | 3 |
| Résumé≠ | Flotation kinetics is the study of how recovery of minerals from ore changes over time during flotation. The Garcia-Zuniga model, introduced in 1935, describes recovery as a first-order kinetic process with rate constant k and maximum recoverable fraction R∞. This simple model underpins flotation cell design and process optimization, enabling engineers to predict flotation performance from batch tests and scale results to industrial circuits. | 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. |
| ScholarGateJeu de données ↗ |
|
|