Methoden vergelijken

	Rosin-Rammler-verdeling	Tromp-curve	Wasbaarheid Analyse
Vakgebied	Mijnbouwkunde	Mijnbouwkunde	Mijnbouwkunde
Familie	Process / pipeline	Process / pipeline	Process / pipeline
Jaar van ontstaan	1933	1937	1950
Grondlegger	Paul Rosin and Erich Rammler	K. Tromp	Mining Industry Practice (1930s-1960s)
Type	Empirical probability distribution for crushed material fineness	Empirical model for size classifier performance	Separation analysis by density fractionation
Oorspronkelijke bron	Rosin, P., & Rammler, E. (1933). The laws governing the fineness of powdered coal. Journal of the Institute of Fuel, 7, 29-36.	Tromp, K. (1937). Separation of fine particles from slurries by hydrocyclone. Colliery Guardian, 155(4), 251-256.	McCullough, R. B. (1963). The theoretical basis and practical application of coal washability studies. Transactions of the Society of Mining Engineers, 226, 13-26.
Aliassen	Rosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size)	Partition Curve, Classification Efficiency Curve, Grade Recovery Curve	Coal Washability, Density Separation Analysis, Float-Sink Analysis
Verwant	3	3	3
Samenvatting	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.	Washability 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.