Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction
In Singapore, there is an increasing need for independence from manpower within the Building and Construction (B&C) Industry. Prefabricated Prefinished Volumetric Construction (PPVC) production is mainly driven by benefits in environmental pollution reduction, improved productivity, quality cont...
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sg-ntu-dr.10356-1692772023-07-12T15:37:10Z Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction Quah, Noel Tan Kai Tay, Daniel Yi Wei Lim, Jian Hui Tan, Ming Jen Wong, Teck Neng Li, Holden King Ho School of Mechanical and Aerospace Engineering Singapore Centre for 3D Printing Engineering::Mechanical engineering Concrete 3D Printing Diagnosis Systems In Singapore, there is an increasing need for independence from manpower within the Building and Construction (B&C) Industry. Prefabricated Prefinished Volumetric Construction (PPVC) production is mainly driven by benefits in environmental pollution reduction, improved productivity, quality control, and customizability. However, overall cost savings have been counterbalanced by new cost drivers like modular precast moulds, transportation, hoisting, manufacturing & holding yards, and supervision costs. The highly modular requirements for PPVC places additive manufacturing in an advantageous position, due to its high customizability, low volume manufacturing capabilities for a faster manufacturing response time, faster production changeovers, and lower inventory requirements. However, C3DP has only just begun to move away from its early-stage development, where there is a need to closely evaluate the process parameters across buildability, extrudability, and pumpability aspects. As many parameters have been identified as having considerable influence on C3DP processes, monitoring systems for feedback applications seem to be an inevitable step forward to automation in construction. This paper has presented a broad analysis of the challenges posed to C3DP and feedback systems, stressing the admission of process parameters to correct multiple modes of failure. National Research Foundation (NRF) Published version This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Medium-Sized Centre funding scheme, National Additive Manufacturing Innovation Cluster, Singapore Centre for 3D Printing, Enviro Sand Pty Ltd., and Chip Eng Seng Corporation Ltd. 2023-07-11T02:20:21Z 2023-07-11T02:20:21Z 2023 Journal Article Quah, N. T. K., Tay, D. Y. W., Lim, J. H., Tan, M. J., Wong, T. N. & Li, H. K. H. (2023). Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction. Mathematics, 11(6), 1499-. https://dx.doi.org/10.3390/math11061499 2227-7390 https://hdl.handle.net/10356/169277 10.3390/math11061499 2-s2.0-85151357121 6 11 1499 en Mathematics © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf |
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Engineering::Mechanical engineering Concrete 3D Printing Diagnosis Systems Quah, Noel Tan Kai Tay, Daniel Yi Wei Lim, Jian Hui Tan, Ming Jen Wong, Teck Neng Li, Holden King Ho Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction |
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In Singapore, there is an increasing need for independence from manpower within the Building and Construction (B&C) Industry. Prefabricated Prefinished Volumetric Construction (PPVC) production is mainly driven by benefits in environmental pollution reduction, improved productivity, quality control, and customizability. However, overall cost savings have been counterbalanced by new cost drivers like modular precast moulds, transportation, hoisting, manufacturing & holding yards, and supervision costs. The highly modular requirements for PPVC places additive manufacturing in an advantageous position, due to its high customizability, low volume manufacturing capabilities for a faster manufacturing response time, faster production changeovers, and lower inventory requirements. However, C3DP has only just begun to move away from its early-stage development, where there is a need to closely evaluate the process parameters across buildability, extrudability, and pumpability aspects. As many parameters have been identified as having considerable influence on C3DP processes, monitoring systems for feedback applications seem to be an inevitable step forward to automation in construction. This paper has presented a broad analysis of the challenges posed to C3DP and feedback systems, stressing the admission of process parameters to correct multiple modes of failure. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Quah, Noel Tan Kai Tay, Daniel Yi Wei Lim, Jian Hui Tan, Ming Jen Wong, Teck Neng Li, Holden King Ho |
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Article |
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Quah, Noel Tan Kai Tay, Daniel Yi Wei Lim, Jian Hui Tan, Ming Jen Wong, Teck Neng Li, Holden King Ho |
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Quah, Noel Tan Kai |
title |
Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction |
title_short |
Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction |
title_full |
Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction |
title_fullStr |
Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction |
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Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction |
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concrete 3d printing: process parameters for process control, monitoring and diagnosis in automation and construction |
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2023 |
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https://hdl.handle.net/10356/169277 |
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1772826557731045376 |