Rheological Optimization of 3D-Printed Cementitious Materials Using Response Surface Methodology

This study employed response surface methodology (RSM) to optimize admixture proportions in 3D-printed cementitious materials, with the aim of enhancing printability. Based on preliminary tests, three additives, namely, an accelerator, hydroxypropyl methylcellulose (HPMC), and polycarboxylate superplasticizer (PCE), were incorporated to evaluate their effects on flowability and dynamic yield stress. A Box-Behnken central composite design was used to establish a mathematical model, followed by the RSM-driven optimization of mix proportions. The optimized formulation (0.32% accelerator, 0.24% HPMC, and 0.23% PCE) achieved a flowability of 147.5 mm and a dynamic yield stress of 711 Pa, which closely matched the predicted values and fulfilled the printability requirements, thus establishing RSM as an effective approach for designing printable cementitious composites. This approach established an RSM-based optimization framework for mix proportion design. These findings offer a mechanistic framework for rational 3DPC mixture design, combining theoretical insights and practical implementation in additive construction.

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Publication Details

Journal
Materials
Published
2025-08-22
DOI
https://doi.org/10.3390/ma18173933
Citations
1
Primary Topic
Innovations in Concrete and Construction Materials
Type
article
Field-Weighted Citation Impact
1.01

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article

Rheological Optimization of 3D-Printed Cementitious Materials Using Response Surface Methodology

Yunhui Fang, Jianshe Lian, Shuqin Shi, Wenkai Huang et al.
1 citations
Materials
Innovations in Concrete and Construction Materials
1.01
article

Rheological Optimization of 3D-Printed Cementitious Materials Using Response Surface Methodology

Yunhui Fang, Jianshe Lian, Shuqin Shi, Wenkai Huang, Chenfei Wang, Yixin Yang, Guangming Fan
article en
1 citations

Abstract

This study employed response surface methodology (RSM) to optimize admixture proportions in 3D-printed cementitious materials, with the aim of enhancing printability. Based on preliminary tests, three additives, namely, an accelerator, hydroxypropyl methylcellulose (HPMC), and polycarboxylate superplasticizer (PCE), were incorporated to evaluate their effects on flowability and dynamic yield stress. A Box-Behnken central composite design was used to establish a mathematical model, followed by the RSM-driven optimization of mix proportions. The optimized formulation (0.32% accelerator, 0.24% HPMC, and 0.23% PCE) achieved a flowability of 147.5 mm and a dynamic yield stress of 711 Pa, which closely matched the predicted values and fulfilled the printability requirements, thus establishing RSM as an effective approach for designing printable cementitious composites. This approach established an RSM-based optimization framework for mix proportion design. These findings offer a mechanistic framework for rational 3DPC mixture design, combining theoretical insights and practical implementation in additive construction.

MaterialsVol. 18(17)
Xiamen University (CN), Inner Mongolia University of Science and Technology (CN), Institute of New Materials (CN), Xiamen Tobacco Industry (China) (CN), Xiamen University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 21%
Innovations in Concrete and Construction Materials
1.01
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Rheological Optimization of 3D-Printed Cementitious Materials Using Response Surface Methodology — Yunhui Fang, Jianshe Lian, et al. · Materials (2025) | TGRS Research Map | TGRS