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Rosin-Rammler 分布×Tromp曲线×
领域采矿工程采矿工程
方法族Process / pipelineProcess / pipeline
起源年份19331937
提出者Paul Rosin and Erich RammlerK. Tromp
类型Empirical probability distribution for crushed material finenessEmpirical model for size classifier performance
开创性文献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 ↗
别名Rosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size)Partition Curve, Classification Efficiency Curve, Grade Recovery Curve
相关33
摘要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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ScholarGate方法对比: Rosin-Rammler Distribution · Tromp Curve. 于 2026-06-20 检索自 https://scholargate.app/zh/compare