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Distribuição de Rosin-Rammler×Método de McCabe-Thiele×
ÁreaEngenharia de minasEngenharia de minas
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19331925
Autor originalPaul Rosin and Erich RammlerWarren L. McCabe and Ernest W. Thiele
TipoEmpirical probability distribution for crushed material finenessGraphical design method for distillation columns
Fonte seminalRosin, P., & Rammler, E. (1933). The laws governing the fineness of powdered coal. Journal of the Institute of Fuel, 7, 29-36. link ↗McCabe, W. L., & Thiele, E. W. (1925). Graphical design of fractionating columns. Transactions of the American Institute of Chemical Engineers, 21, 30-60. link ↗
Outros nomesRosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size)McCabe-Thiele Diagram, Graphical Distillation Method
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.The McCabe-Thiele Method, introduced by Warren L. McCabe and Ernest W. Thiele in 1925, is a graphical technique for designing and analyzing distillation columns. It predicts the number of theoretical plates (stages) needed to achieve a desired separation between light and heavy components. While primarily a chemical engineering tool, it applies to liquid-vapor separation problems in mining operations such as mercury recovery and rare earth element refining.
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ScholarGateComparar métodos: Rosin-Rammler Distribution · McCabe-Thiele Method. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare