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Buildability Analysis of 3D Concrete Printing Process: A Parametric Study Using Design of Experiment Approach

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submitted on 2024-07-02, 07:05 and posted on 2024-07-02, 07:06 authored by Shoukat Alim Khan, Muammer Koç

Plastic collapse and buckling are the key structural failure criteria in 3D concrete printing (3DCP). This study aims to analyze the effect of different geometrical designs and printing factors on the buildability performance of 3DCP structures. Due to the high number of variables involved, the Design of Experiment (DOE) has been used to reduce the number of simulations. In geometrical design parameters, the structure’s design is more sensitive, followed by the width and length of the printed design. The buildability increases when we move from sharp corners to more stable structures like fillets and circular geometry. For geometrical design parameters, a maximum buildability of 74% of the designed height is achieved for circular design with the highest width and lowest diameter. For printing parameters, the highest buildability of 486 mm (81%) is achieved for the lower values of printing speed and layer height. The study analyzed failure phenomena of buckling and yield strength for the tested combination of parameters. The study analyzed the sensitivity analysis of individual parameters and their combination for maximum buildability and developed the low order polynomial regression equation for each printing parameter and geometrical factors. Based on the analysis of the results, the study also proposed different new printing strategies to increase the overall performance of the printing process.

Other Information

Published in: Processes
License: https://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.3390/pr11030782

Funding

Qatar National Research Fund (AICC02-0429-190014), Additive Manufacturing of Concrete for Sustainable Construction using Locally Developed Materials.

History

Language

  • English

Publisher

MDPI

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Science and Engineering - HBKU

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