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Related Concept Videos

Teeth01:15

Teeth

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The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Human Mastication Analysis-A DEM Based Numerical Approach.

Rajat Mishra1, Sagar Kumar Deb1, Swasti Chakrabarty2

  • 1Advanced Materials Processing Research Group, Indian Institute of Technology Gandhinagar, Palaj, Gujarat, India.

International Journal for Numerical Methods in Biomedical Engineering
|October 10, 2024
PubMed
Summary
This summary is machine-generated.

This study uses discrete element modeling to simulate human mastication, analyzing how particle shape and properties affect food breakdown. Computational methods offer an efficient alternative to experiments for understanding this complex digestive process.

Keywords:
breakage modelsdiscrete element methodfragment distribution modelsmastication

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Area of Science:

  • Biomechanics
  • Computational Modeling
  • Food Science

Background:

  • Mastication is a crucial initial stage of digestion involving food fragmentation and mixing.
  • Experimental analysis of mastication is complex and inefficient due to numerous parameters.
  • Computational techniques like discrete element numerical modeling offer efficient solutions.

Purpose of the Study:

  • To simulate the human mastication process using numerical modeling.
  • To analyze the fragmentation and distribution of food particles during chewing.
  • To investigate the influence of particle characteristics on mastication outcomes.

Main Methods:

  • Employed the Discrete Element Method (DEM) for numerical simulation.
  • Utilized Tavares and Ab-T10 breakage models with Gaudin Schumann and Incomplete Beta fragment distribution models.
  • Incorporated numerical softening factors and adhesion forces to model elastic-plastic behavior and moisture content.

Main Results:

  • Analyzed the impact of particle shape (spherical, polyhedron, faceted cylinder), size (aspect ratio), and orientation (vertical, horizontal) on breakage and fragment distribution.
  • Demonstrated the effectiveness of DEM in simulating mastication with multiple parameters.
  • Quantified the effects of material properties like elastic-plastic behavior and moisture content on food particle fragmentation.

Conclusions:

  • Discrete Element Method (DEM) provides a powerful tool for simulating and analyzing the human mastication process.
  • Particle characteristics significantly influence food fragmentation and distribution during chewing.
  • Numerical modeling advances our understanding of biomechanical processes in digestion.