4.7 Review

Modeling and Simulation of 3D Food Printing Systems-Scope, Advances, and Challenges

期刊

FOODS
卷 12, 期 18, 页码 -

出版社

MDPI
DOI: 10.3390/foods12183412

关键词

modeling; computational modeling; 3D food printing; AI and 3D printing; simulation; 3D printing optimization

向作者/读者索取更多资源

Food 3D printing is an advanced technology that transforms foods into customized forms. Modeling methods are used to simulate the mechanical behavior, texture modification, and stability evaluation of the printing process, as well as assist in the design of 3D printers. There are opportunities for expanding research in this field, particularly in computational and data-driven dynamic simulation approaches.
Food 3D printing is a computer-aided additive manufacturing technology that can transform foods into intricate customized forms. In the past decade, this field has phenomenally advanced and one pressing need is the development of strategies to support process optimization. Among different approaches, a range of modeling methods have been explored to simulate 3D printing processes. This review details the concepts of various modeling techniques considered for simulating 3D printing processes and their application range. Most modeling studies majorly focus on predicting the mechanical behavior of the material supply, modifying the internal texture of printed constructs, and assessing the post-printing stability. The approach can also be used to simulate the dynamics of 3D printing processes, in turn, assisting the design of 3D printers based on material composition, properties, and printing conditions. While most existing works are associated with extrusion-based 3D printing, this article presents scope for expanding avenues with prominent research and commercial interest. The article concludes with challenges and research needs, emphasizing opportunities for computational and data-driven dynamic simulation approaches for multi-faceted applications.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据