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Modeling and Simulation of 3D Food Printing Systems-Scope, Advances, and Challenges
Vijayakumar Raja1,2, Shubham Nimbkar1,2, Jeyan Arthur Moses2
1Food Processing Business Incubation Centre, National Institute of Food Technology, Entrepreneurship and Management-Thanjavur, Ministry of Food Processing Industries, Government of India, Thanjavur 613005, Tamil Nadu, India.
Foods (Basel, Switzerland)
|September 28, 2023
Summary
Food 3D printing, a customizable manufacturing technology, requires process optimization. This review explores modeling methods to simulate food 3D printing, aiding in material behavior prediction and printer design.
Area of Science:
- Food Science
- Materials Science
- Engineering
Background:
- Food 3D printing is an advanced additive manufacturing technology for creating customized food forms.
- Process optimization and simulation strategies are crucial for advancing the field.
Purpose of the Study:
- To review various modeling techniques for simulating food 3D printing processes.
- To discuss their application range, focusing on material behavior, texture modification, and post-printing stability.
Main Methods:
- Literature review of modeling techniques applied to food 3D printing.
- Analysis of simulation applications in predicting mechanical behavior, internal texture, and stability.
- Exploration of simulation for process dynamics and printer design.
Main Results:
- Modeling studies predominantly focus on mechanical behavior, texture, and stability prediction.
- Simulation aids in understanding printing dynamics and designing 3D printers.
- Existing research is mainly on extrusion-based 3D printing, with scope for expansion.
Conclusions:
- Modeling and simulation are vital for optimizing food 3D printing processes.
- Further research is needed in computational and data-driven dynamic simulations for diverse applications.
- Opportunities exist to expand modeling beyond extrusion-based systems.
