Image Analysis and Mathematical Modeling for the Determination of Particle Distributions

Authors

  • Jessica López Martínez Universidad Autónoma de San Luis Potosí
  • Jonatan Andrade Martínez Universidad Autónoma de San Luis Potosí
  • Gabriela Alvarado Macías Universidad Autónoma de San Luis Potosí
  • Erik Espinosa Serrano Universidad Autónoma de San Luis Potosí
  • Dora Patrícia Nava Gómez Universidad Autónoma de San Luis Potosí
  • Gilberto Rosales Marín Universidad Autónoma de San Luis Potosí https://orcid.org/0000-0003-3679-3981

DOI:

https://doi.org/10.36790/epistemus.v17i35.289

Keywords:

Particle Size Distribution, Mathematical Modeling, Mineral Processing, Image Analysis

Abstract

Particle distribution is considered one of the main tools for control in the different unit operations related to mineral processing. In the crushing and grinding stages, this technique allows us to know the procedures involved in particle reduction processes as well as to determine the material balances within. In the present work, image analysis techniques, Weibull distribution model, as well as physical properties of a silica mineral that are used to determine a steady-state particle size distribution. For this purpose, the particle size distribution experimentally determined through the use of conventional meshes (Tyler Type) later compared with that obtained by means of frames. The Weibull model was used to mathematically fit the distribution obtained through the frames. The adaptations proved to be an aid that allows determining a reliable granulometric distribution through image analysis due to the fact that the error (SSE) is 1.3.

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References

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Published

2023-11-03

How to Cite

López Martínez, J., Andrade Martínez, J., Alvarado Macías, G., Espinosa Serrano, E., Nava Gómez, D. P., & Rosales Marín, G. (2023). Image Analysis and Mathematical Modeling for the Determination of Particle Distributions. EPISTEMUS, 17(35), 26–33. https://doi.org/10.36790/epistemus.v17i35.289

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