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Distribuzione di Rosin-Rammler×McCabe-Thiele Method×
CampoIngegneria minerariaIngegneria mineraria
FamigliaProcess / pipelineProcess / pipeline
Anno di origine19331925
IdeatorePaul Rosin and Erich RammlerWarren L. McCabe and Ernest W. Thiele
TipoEmpirical probability distribution for crushed material finenessGraphical design method for distillation columns
Fonte seminaleRosin, 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 ↗
AliasRosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size)McCabe-Thiele Diagram, Graphical Distillation Method
Correlati33
SintesiThe 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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ScholarGateConfronta i metodi: Rosin-Rammler Distribution · McCabe-Thiele Method. Consultato il 2026-06-18 da https://scholargate.app/it/compare