Morphological Characterization of Agglomerated Particles by 3D Reconstruction

J. P. Zavala De Paz, C. Isaza Bohorques, E. K. Anaya Rivera, E. Castillo Castaneda

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A quantitative method was developed to assess the form of agglomerated particles of powdered milk. The method is based on the three-dimensional reconstruction of said particles using a laser displacement sensor (LDS), which allows three-dimensional scanning volume particles to estimate and extract parameters such as sphericity, elongation ratio and flatness, shape factor, and aspect ratio. It was implemented a mechatronic system of two degrees of freedom, comprising a positioning system for rotating the angular agglomerate and linear positioning system to move the LDS. Experimental results allow classifying the agglomerated particles according to their shape parameters.

Original languageEnglish
Article number7587610
Pages (from-to)3117-3123
Number of pages7
JournalIEEE Latin America Transactions
Volume14
Issue number7
DOIs
StatePublished - Jul 2016
Externally publishedYes

Keywords

  • 3D reconstruction
  • agglomerated particles
  • laser displacement sensor

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