Experimental Uncertainty Analysis for the Particle Size Distribution for Better Understanding of Batch Grinding Process
Uncertainty in industrial processes is very common, but it is particularly high in the grinding process (GP), due to the set of interacting operating/design parameters. This uncertainty can be evaluated in different ways, but, without a doubt, one of the most important parameters that characterise a...
Main Authors: | José Delgado, Freddy A. Lucay, Felipe D. Sepúlveda |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Minerals |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-163X/11/8/862 |
Similar Items
-
Integration of Lineal Geostatistical Analysis and Computational Intelligence to Evaluate the Batch Grinding Kinetics
by: Freddy A. Lucay, et al.
Published: (2022-06-01) -
Toward the Operability of Flotation Systems under Uncertainty
by: Freddy A. Lucay, et al.
Published: (2021-06-01) -
Dimensional Error Compensation Based on Data-Driven Sliding Mode Terminal Iterative Learning Control for CNC Batch Grinding
by: Tiantian Chen, et al.
Published: (2023-01-01) -
Study on Quantitative Separation Method of Grinding Characteristics of Multi-Component Complex Ore
by: Jinlin Yang, et al.
Published: (2023-04-01) -
Perspectives for better batch effect correction in mass-spectrometry-based proteomics
by: Ser-Xian Phua, et al.
Published: (2022-01-01)