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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Main Authors: Quah, Noel Tan Kai, Tay, Daniel Yi Wei, Lim, Jian Hui, Tan, Ming Jen, Wong, Teck Neng, Li, Holden King Ho
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/169277
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Concrete 3D Printing
Diagnosis Systems
spellingShingle 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
description 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.
author2 School of Mechanical and Aerospace Engineering
author_facet 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
format Article
author Quah, Noel Tan Kai
Tay, Daniel Yi Wei
Lim, Jian Hui
Tan, Ming Jen
Wong, Teck Neng
Li, Holden King Ho
author_sort 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
title_full_unstemmed Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction
title_sort concrete 3d printing: process parameters for process control, monitoring and diagnosis in automation and construction
publishDate 2023
url https://hdl.handle.net/10356/169277
_version_ 1772826557731045376