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Vaskbarhedsanalyse×Rosin-Rammler-fordelingen×Tromp Kurve×
FagområdeMinedriftMinedriftMinedrift
FamilieProcess / pipelineProcess / pipelineProcess / pipeline
Oprindelsesår195019331937
OphavspersonMining Industry Practice (1930s-1960s)Paul Rosin and Erich RammlerK. Tromp
TypeSeparation analysis by density fractionationEmpirical probability distribution for crushed material finenessEmpirical model for size classifier performance
Oprindelig kildeMcCullough, R. B. (1963). The theoretical basis and practical application of coal washability studies. Transactions of the Society of Mining Engineers, 226, 13-26. link ↗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 ↗
AliasserCoal Washability, Density Separation Analysis, Float-Sink AnalysisRosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size)Partition Curve, Classification Efficiency Curve, Grade Recovery Curve
Relaterede333
ResuméWashability analysis is a laboratory method that determines the feasibility and efficiency of density-based separation for coal or mineral beneficiation. By fractionating ore or coal into density bins using sink-float tests and assaying each fraction, engineers can optimize design of separation plants (dense-medium cyclones, jigs, spirals) and predict clean product quality. Washability curves are essential tools for pre-feasibility and detailed design studies.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.
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ScholarGateSammenlign metoder: Washability · Rosin-Rammler Distribution · Tromp Curve. Hentet 2026-06-20 fra https://scholargate.app/da/compare