4.7 Article

From analytical methods to numerical simulations: A process engineering toolbox for 3D concrete printing

期刊

CEMENT & CONCRETE COMPOSITES
卷 122, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.cemconcomp.2021.104164

关键词

Concrete technology; Additive manufacturing; 3D-printing; Analytical modeling; Numerical simulations

向作者/读者索取更多资源

This paper compiles selected predictive analytical and numerical tools for modeling and understanding mechanisms during extrusion-based 3D printing of cementitious materials. Basic analytical methods are provided for initial analysis, while advanced numerical tools can accurately simulate the printing process and help optimize rheological response. Further developments are still needed to fully capture the physical mechanisms involved.
This paper compiles selected predictive analytical and numerical tools which can be used to model and understand the mechanisms of importance at different stages during and immediately after extrusion-based 3D printing of cementitious materials. The proposed toolbox covers different aspects of the process including mixing, material transportation, layer deposition, mechanical behavior of the fresh printed structure, and its early curing. Specifically, the paper provides basic analytical methods that should be helpful for an initial, first-order analysis of a given printing process. These methods deliver, in turn, a first estimation of some material requirements and process parameters. Limitations of these analytical methods are also discussed. Furthermore, the paper presents a review of advanced numerical tools that can be used to simulate the steps in the printing process accurately. It is shown that these tools can serve to describe complex behaviors, help in designing process parameters, or optimizing the rheological response, even though further developments are still needed to capture fully the attendant physical mechanisms.

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