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Mathematics
Volume 11
Issue 6
10.3390/math11061499
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Review

Concrete 3D Printing: Process Parameters for Process Control, Monitoring and Diagnosis in Automation and Construction

by
Tan Kai Noel Quah
,
Yi Wei Daniel Tay
,
Jian Hui Lim
,
Ming Jen Tan
,
Teck Neng Wong
and
King Ho Holden Li
*
Singapore Centre for 3D Printing, School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
*
Author to whom correspondence should be addressed.
Mathematics 2023, 11(6), 1499; https://doi.org/10.3390/math11061499
Submission received: 20 February 2023 / Revised: 8 March 2023 / Accepted: 13 March 2023 / Published: 19 March 2023
(This article belongs to the Special Issue Mathematics in Robot Control for Theoretical and Applied Problems)
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Abstract

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.
Keywords: Concrete 3D Printing; sustainability; process control; diagnosis systems; feedback systems; feedback control; computer vision; monitoring systems; in-situ monitoring; ex-situ monitoring Concrete 3D Printing; sustainability; process control; diagnosis systems; feedback systems; feedback control; computer vision; monitoring systems; in-situ monitoring; ex-situ monitoring

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MDPI and ACS Style

Quah, T.K.N.; Tay, Y.W.D.; Lim, J.H.; Tan, M.J.; Wong, T.N.; Li, K.H.H. Concrete 3D Printing: Process Parameters for Process Control, Monitoring and Diagnosis in Automation and Construction. Mathematics 2023, 11, 1499. https://doi.org/10.3390/math11061499

AMA Style

Quah TKN, Tay YWD, Lim JH, Tan MJ, Wong TN, Li KHH. Concrete 3D Printing: Process Parameters for Process Control, Monitoring and Diagnosis in Automation and Construction. Mathematics. 2023; 11(6):1499. https://doi.org/10.3390/math11061499

Chicago/Turabian Style

Quah, Tan Kai Noel, Yi Wei Daniel Tay, Jian Hui Lim, Ming Jen Tan, Teck Neng Wong, and King Ho Holden Li. 2023. "Concrete 3D Printing: Process Parameters for Process Control, Monitoring and Diagnosis in Automation and Construction" Mathematics 11, no. 6: 1499. https://doi.org/10.3390/math11061499

APA Style

Quah, T. K. N., Tay, Y. W. D., Lim, J. H., Tan, M. J., Wong, T. N., & Li, K. H. H. (2023). Concrete 3D Printing: Process Parameters for Process Control, Monitoring and Diagnosis in Automation and Construction. Mathematics, 11(6), 1499. https://doi.org/10.3390/math11061499

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