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マッケイブ・チーレ法×ロジン・ラムラー分布×トロンプ曲線×
分野鉱山工学鉱山工学鉱山工学
系統Process / pipelineProcess / pipelineProcess / pipeline
提唱年192519331937
提唱者Warren L. McCabe and Ernest W. ThielePaul Rosin and Erich RammlerK. Tromp
種類Graphical design method for distillation columnsEmpirical probability distribution for crushed material finenessEmpirical model for size classifier performance
原典McCabe, W. L., & Thiele, E. W. (1925). Graphical design of fractionating columns. Transactions of the American Institute of Chemical Engineers, 21, 30-60. 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 ↗
別名McCabe-Thiele Diagram, Graphical Distillation MethodRosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size)Partition Curve, Classification Efficiency Curve, Grade Recovery Curve
関連333
概要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.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手法を比較: McCabe-Thiele Method · Rosin-Rammler Distribution · Tromp Curve. 2026-06-20に以下より取得 https://scholargate.app/ja/compare