GEOMETRICAL ACCURACY OF CONCRETE WALLS MANUFACTURED BY 3D PRINTING

Authors

DOI:

https://doi.org/10.20998/2078-7405.2025.102.10

Keywords:

concrete 3D printing, construction, layer thickness optimization, geometrical accuracy, surface quality control, quality assessment, concrete defects analysis

Abstract

The presented results were obtained during a theoretical and experimental study of the geometric accuracy and surface quality parameters of concrete walls manufactured using additive technologies. Theoretical aspects of the classification of defects and deviations of surfaces obtained by layered concrete construction have been developed. The study examines the influence of layer thickness on printing precision and defect formation in 3D concrete printing (3DCP) processes. Two experimental samples were fabricated with different layer thicknesses: 20 mm and 15 mm. Systematic measurements were conducted to evaluate crack depth on vertical surfaces, pore depth on horizontal surfaces, track width variations, and deviations from straight-line geometry. The experimental methodology involved comprehensive measurement protocols using precision instruments to assess geometrical parameters and surface quality characteristics. Statistical analysis was performed to quantify the relationships between layer thickness and printing accuracy, including calculations of mean values, standard deviations, and coefficients of variation for all measured parameters. Results demonstrate significant improvements in geometrical accuracy when reducing layer thickness from 20 mm to 15 mm. Crack depth on vertical surfaces decreased by 56%, while deviations from straight-line geometry improved by 32%. Most notably, track width stability showed a remarkable enhancement, with the coefficient of variation improving by 91%, indicating substantially improved process repeatability. The 15 mm layer thickness configuration exhibited superior performance across all measured parameters, demonstrating enhanced layer adhesion, reduced surface defects, and improved dimensional consistency. The coefficient of variation for crack depth decreased from 43% to 24%, while deviation variability reduced from 32% to 12%, confirming improved process control and predictability. These findings provide valuable insights for optimizing 3D concrete printing parameters and establishing quality control protocols for additive construction applications. The research contributes to the development of standardized practices for concrete 3D printing technology and demonstrates the critical importance of layer thickness optimization for achieving high-quality printed concrete structures. The results confirm the effectiveness of implementing thinner layers, given the increased requirements for geometric accuracy and surface quality in automated concrete construction processes. This research was conducted at "Geopolimer" LTD to implement innovative technologies in the construction industry.

Author Biographies

Garashchenko Yaroslav, National Technical University "Kharkiv Polytechnic Institute", Kharkiv, Ukraine

Doct. of Techn. Sci., Associate Professor, Department of Integrated Technologies of Mechanical Engineering named after M.F. Semko, National Technical University «Kharkiv Polytechnic Institute», Kharkiv, Ukraine

Harashchenko Olena, National Technical University "Kharkiv Polytechnic Institute", Kharkiv, Ukraine

Senior teacher, PhD, Department "Electrical Isolation and cable technic", National Technical University «Kharkiv Polytechnic Institute», Kharkiv, Ukraine

Kucher Ruslan, Mykolaiv National Agrarian University, Mykolaiv, Ukraine

Master's degree, Department of Management and Marketing, Mykolaiv National Agrarian University, Mykolaiv, Ukraine

References

Garashchenko, Y., Harashchenko, O., Kucher, R. Additive technologies in construction: technical, economic and management analysis. Cutting & Tools in Technological System, (101), 2024. 103‒115.

Buswell, R.A., De Silva, W.L., Jones, S.Z. and Dirrenberger, J. 3D printing using concrete extrusion: A roadmap for research. Cement and concrete research, 112, 2018. pp. 37‒49.

Rollakanti, C.R. and Prasad, C.V.S.R. Applications, performance, challenges and current progress of 3D concrete printing technologies as the future of sustainable construction–A state of the art review. Materials Today: Proceedings, 65, 2022. pp. 995‒1000.

Raphael, B., Senthilnathan, S., Patel, A. and Bhat, S. A review of concrete 3D printed structural members. Frontiers in Built Environment, 8, 2023. p.1034020.

Roussel, N. Rheological requirements for printable concretes. Cement and Concrete Research, 112, 2018. pp. 76‒85.

Skripkiunas, G., Tolegenova, A., Rishko, L., Akmalaiuly, K. and Baltuškiene, D. Durability and Cracking Defects in 3D‐Printed Concrete. Advances in Civil Engineering, 2025(1), 2025. p.8592029.

Bos, F., Wolfs, R., Ahmed, Z. and Salet, T. Additive manufacturing of concrete in construction: potentials and challenges of 3D concrete printing. Virtual and physical prototyping, 11(3), 2016. pp. 209‒225.

Buswell, R., Xu, J., De Becker, D., Dobrzanski, J., Provis, J., Kolawole, J.T. and Kinnell, P. Geometric quality assurance for 3D concrete printing and hybrid construction manufacturing using a standardised test part for benchmarking capability. Cement and Concrete Research, 156, 2022. p. 106773.

Mechtcherine, V., Bos, F.P., Perrot, A., Da Silva, W.L., Nerella, V.N., Fataei, S., Wolfs, R.J., Sonebi, M. and Roussel, N. Extrusion-based additive manufacturing with cement-based materials–production steps, processes, and their underlying physics: a review. Cement and Concrete Research, 132, 2020. p. 106037.

Zhang, J., Wang, J., Dong, S., Yu, X. and Han, B. A review of the current progress and application of 3D printed concrete. Composites Part A: Applied Science and Manufacturing, 125, 2019. p. 105533.

Liu, W., Ji, D., Cui, W., Shi, X., Liu, C. and Tao, Y. Research Progress on Quality Control Method of Concrete 3D Printing Based on Computer Vision. In International Conference on Computer Science and its Applications, Springer, Singapore. 2025. pp. 186‒191.

Otto, J. and Maiwald, P. Classification and automated quality assurance of 3D concrete printed surfaces. Automation in Construction, 164, 2024. p. 105467.

Panda, B., Paul, S.C., Hui, L.J., Tay, Y.W.D. and Tan, M.J. Additive manufacturing of geopolymer for sustainable built environment. Journal of cleaner production, 167, 2017. pp. 281‒288.

Paul, S.C., Van Zijl, G.P., Tan, M.J. and Gibson, I. A review of 3D concrete printing systems and materials properties: Current status and future research prospects. Rapid Prototyping Journal, 24(4), 2018. pp. 784‒798.

Le, T.T., Austin, S.A., Lim, S., Buswell, R.A., Gibb, A.G. and Thorpe, T. Mix design and fresh properties for high-performance printing concrete. Materials and structures, 45, 2012. pp.1221-1232.

Huang, X., Yang, W., Song, F. and Zou, J. Study on the mechanical properties of 3D printing concrete layers and the mechanism of influence of printing parameters. Construction and Building Materials, 335, 2022. p. 127496.

Wangler, T., Roussel, N., Bos, F.P., Salet, T.A. and Flatt, R.J. Digital concrete: a review. Cement and Concrete Research, 123, 2019. p. 105780.

Liu, X., Cai, H., Ma, G. and Hou, G. Spray-based 3D concrete printing parameter design model: Actionable insight for high printing quality. Cement and Concrete Composites, 147, 2024. p. 105446.

Quah, T.K.N., Tay, Y.W.D., Lim, J.H., Tan, M.J., Wong, T.N. and Li, K.H.H. Concrete 3D printing: Process parameters for process control, monitoring and diagnosis in automation and construction. Mathematics, 11(6), 2023. p. 1499.

Zhang, C., Deng, Z., Chen, C., Zhang, Y., Mechtcherine, V. and Sun, Z. Predicting the static yield stress of 3D printable concrete based on flowability of paste and thickness of excess paste layer. Cement and Concrete Composites, 129, 2022. p. 104494.

Rill-García, R., Dokladalova, E., Dokládal, P., Caron, J.F., Mesnil, R., Margerit, P. and Charrier, M. Inline monitoring of 3D concrete printing using computer vision, Addit. Manuf. 60, 2022. 103175 [online].

Zhang, H., Tan, Y., Hao, L., Zhang, S., Xiao, J. and Poon, C.S. Intelligent real-time quality control for 3D-printed concrete with near-nozzle secondary mixing. Automation in Construction, 160, 2024. p. 105325.

Kazemian, A., Yuan, X., Davtalab, O. and Khoshnevis, B. Computer vision for real-time extrusion quality monitoring and control in robotic construction. Automation in Construction, 101, 2019. pp. 92‒98.

Zhang, E., Li, B., Li, P. and Chen, Y. A deep learning based printing defect classification method with imbalanced samples. Symmetry, 11(12), 2019. p. 1440.

Senthilnathan, S. and Raphael, B. Using computer vision for monitoring the quality of 3D-printed concrete structures. Sustainability, 14(23), 2022. p. 15682.

Zhuang, Z., Xu, F., Ye, J., Hu, N., Jiang, L. and Weng, Y. A comprehensive review of sustainable materials and toolpath optimization in 3D concrete printing. npj Materials Sustainability, 2(1), 2024. p. 12.

Ahmed, G.H. A review of “3D concrete printing”: Materials and process characterization, economic considerations and environmental sustainability. Journal of Building Engineering, 66, 2023. p. 105863.

Rehman, A.U., Perrot, A., Birru, B.M. and Kim, J.H. Recommendations for quality control in industrial 3D concrete printing construction with mono-component concrete: A critical evaluation of ten test methods and the introduction of the performance index. Developments in the Built Environment, 16, 2023. p. 100232.

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Published

2025-06-20

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Section

Addition technologies in mechanical engineering