ScholarGate
Assistente

Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Distribuição de Rosin-Rammler×Cinética de Flotação×
ÁreaEngenharia de minasEngenharia de minas
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19331935
Autor originalPaul Rosin and Erich RammlerGarcia-Zuniga
TipoEmpirical probability distribution for crushed material finenessFirst-order kinetic model for flotation recovery
Fonte seminalRosin, P., & Rammler, E. (1933). The laws governing the fineness of powdered coal. Journal of the Institute of Fuel, 7, 29-36. link ↗Garcia-Zuniga, H. (1935). Uber eine neue Methode, zur Berechnung der Flotationsausbeute. Zeitschrift fur Praktische Geologie, 43(2), 12-19. link ↗
Outros nomesRosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size)Batch Flotation Model, Flotation Rate Constants, Kinetic Flotation Analysis
Relacionados33
ResumoThe 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.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.
ScholarGateConjunto de dados
  1. v1
  2. 2 Fontes
  3. PUBLISHED
  1. v1
  2. 2 Fontes
  3. PUBLISHED

Ir para a pesquisa Baixar slides

ScholarGateComparar métodos: Rosin-Rammler Distribution · Flotation Kinetics. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare