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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.
Summary
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.
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.
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