ScholarGate
Asisten

Bandingkan metode

Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.

Kurva Tromp×Distribusi Rosin-Rammler×
BidangTeknik PertambanganTeknik Pertambangan
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19371933
PencetusK. TrompPaul Rosin and Erich Rammler
TipeEmpirical model for size classifier performanceEmpirical probability distribution for crushed material fineness
Sumber perintisTromp, K. (1937). Separation of fine particles from slurries by hydrocyclone. Colliery Guardian, 155(4), 251-256. link ↗Rosin, P., & Rammler, E. (1933). The laws governing the fineness of powdered coal. Journal of the Institute of Fuel, 7, 29-36. link ↗
AliasPartition Curve, Classification Efficiency Curve, Grade Recovery CurveRosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size)
Terkait33
RingkasanThe 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.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.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Ke halaman pencarian Unduh salindia

ScholarGateBandingkan metode: Tromp Curve · Rosin-Rammler Distribution. Diakses 2026-06-19 dari https://scholargate.app/id/compare