Indirect Monitoring Cane Sugar Crystallization via Image Fractal Analysis

Authors

  • Armando Campos-Dominguez Universidad Veracruzana, Facultad de Ingeniería Mecánica y Eléctrica
  • Yessica I. Ceballos-Ceballos Universidad Veracruzana, Facultad de Ciencias Químicas, Región Xalapa
  • Sergio A. Zamora-Castro Universidad Veracruzana
  • Eliseo Hernandez-Martinez Universidad Veracruzana, Facultad de Ciencias Químicas
  • Oscar Velázquez-Camilo Universidad Veracruzana, Región Veracruz, Facultad de Ciencias Químicas

DOI:

https://doi.org/10.13053/cys-22-4-3100

Keywords:

Cane sugar crystallization, monitoring crystal growth, image fractal analysis

Abstract

Due to the increasing demands of quality products, efficient monitoring systems in the current control and operation of industrial processes are essentials. However, in particulate processes as cane sugar crystallization, accurate, inexpensive and suitable sensors for the online monitoring of key process variables are not available. In this work, an alternative using the image analysis of micrographs captured in batch cooling crystallizer is presented. The propose is based on a combined treatment between fractal analysis and conventional binarization techniques, obtaining a normalized fractal index (NFI) that allow the dynamic monitoring of crystal mean diameter, D(4,3). In order to evaluate the monitoring system, the crystallizer was operated at different cooling profiles, finding that the methodology proposed can be used as an alternative technique, inexpensive and easy to implement, for monitoring crystal growth.

Author Biography

Yessica I. Ceballos-Ceballos, Universidad Veracruzana, Facultad de Ciencias Químicas, Región Xalapa

Universidad Veracruzana, Facultad de Ciencias Químicas

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Published

2018-12-26

Issue

Vol. 22 No. 4 (2018): Topic Trends in Computing Research (Guest Editors: A. Aguilar-Meléndez, E. Moya-Sánchez)

Section

Articles of the Thematic Issue

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