Reliability of nonlinear modeling in predicting the size distribution of grinding products under different operating conditions
- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 1
- File Size:
- 67 KB
- Publication Date:
- Oct 1, 2023
Abstract
The paper discusses the limitations of population balance modeling (PBM) in predicting particle size distribution in grinding systems. It introduces a nonlinear framework that transforms the batch grinding equation into the Rosin-Rammler distribution, providing more accurate analysis under different operating conditions. The study uses marble as test material and investigates the adaptability of the nonlinear model with different media sizes.
Citation
APA: (2023) Reliability of nonlinear modeling in predicting the size distribution of grinding products under different operating conditions
MLA: Reliability of nonlinear modeling in predicting the size distribution of grinding products under different operating conditions. Society for Mining, Metallurgy & Exploration, 2023.