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Pore Size Distribution01:23

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In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
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Energy-Dependent Particle Size Distribution Models for Multi-Disc Mill.

Weronika Kruszelnicka1,2, Marek Opielak3, Kingsly Ambrose2

  • 1Department of Machines and Technical Systems, Faculty of Mechanical Engineering, Bydgoszcz University of Science and Technology, Al. Prof. S. Kaliskiego 7, 85-796 Bydgoszcz, Poland.

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Summary

This study models particle size distribution in multi-disc mills, finding specific comminution energy increases with size reduction. Developed models predict product size based on disc speed and power consumption for biomass processing.

Keywords:
Rosin–Rammler–Sterling–Bennet distributionWeibull distributionbiomasscomminutioncornparticle size energyricespecific comminution energy

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Area of Science:

  • Agricultural Engineering
  • Materials Science
  • Biomass Processing

Background:

  • Comminution is crucial for processing biological materials like grains and biomass.
  • Disc mills offer significant potential for biomass grinding, yet their energy-efficiency and product-size relationships are understudied.
  • Existing research lacks comprehensive models for multi-disc grinder performance.

Purpose of the Study:

  • To develop predictive models for particle size distribution in multi-disc mills.
  • To investigate the relationship between grinding energy, disc rotational velocity, and product size reduction.
  • To establish functions correlating mill performance parameters with particle size distribution coefficients.

Main Methods:

  • Experimental grinding of biomass using a five-disc mill with variable angular velocity.
  • Recording power consumption, particle size, and specific comminution energy.
  • Applying Rosin-Rammler-Sperling-Bennet (RRSB) distribution analysis to characterize particle sizes.

Main Results:

  • Specific comminution energy positively correlates with the size reduction ratio.
  • Rosin-Rammler-Sperling-Bennet distribution coefficients were successfully modeled as functions of angular velocity, power consumption, and specific comminution energy.
  • Established relationships enable prediction of product size distribution based on operational parameters.

Conclusions:

  • The developed models provide valuable insights into multi-disc mill comminution processes.
  • These models can inform numerical simulations for optimizing biomass grinding.
  • Understanding these relationships is key for efficient and predictable biomass processing.