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Mathematical Modeling and Simulation of Adaptive Nozzle Design in Material Extrusion
Donghui Kim1, Seong Je Park1,2,3, Seung Ki Moon1,2
1School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
This study introduces an adaptive nozzle for food additive manufacturing (AM), optimizing extrusion with mathematical models and simulations. Findings show pressure and temperature enhance efficiency, paving the way for improved food printing.
Area of Science:
- Food Additive Manufacturing (AM)
- Material Extrusion
- Rheology
Background:
- Optimizing extrusion processes is crucial for food additive manufacturing (AM).
- Existing nozzle designs lack adaptability to varying process parameters.
- Material extrusion in food AM requires precise control over flow dynamics.
Purpose of the Study:
- To propose and validate an adaptive nozzle design for material extrusion-based food AM.
- To develop a mathematical model correlating extrusion parameters with nozzle design.
- To investigate the impact of process variables on extrusion performance.
Main Methods:
- Integration of mathematical modeling and finite element analysis (FEA).
- Development of a theoretical framework for extrusion radius and nozzle diameter.
- Utilizing Hagen-Poiseuille relation for rheological parameter incorporation.
- Conducting static structural simulations under varied conditions.
Main Results:
- Increased pressure and temperature enhance extrusion efficiency.
- Larger nozzle and feeding diameters reduce flow resistance and improve stability.
- Simulation results validate the predictive capability of the mathematical model.
Conclusions:
- Adaptive nozzle systems are feasible for optimizing food AM extrusion.
- The developed model provides a foundation for dynamic nozzle control.
- Findings support improved print fidelity and process flexibility in food AM.
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