Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/169277
Title: Concrete 3D printing: process parameters for process control, monitoring and diagnosis in automation and construction
Authors: Quah, Noel Tan Kai
Tay, Daniel Yi Wei
Lim, Jian Hui
Tan, Ming Jen
Wong, Teck Neng
Li, Holden King Ho
Keywords: Engineering::Mechanical engineering
Issue Date: 2023
Source: 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
Journal: Mathematics 
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.
URI: https://hdl.handle.net/10356/169277
ISSN: 2227-7390
DOI: 10.3390/math11061499
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Singapore Centre for 3D Printing 
Rights: © 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/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles
SC3DP Journal Articles

Files in This Item:
File Description SizeFormat 
mathematics-11-01499-v2.pdf10.5 MBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 20

17
Updated on Dec 7, 2024

Web of ScienceTM
Citations 50

3
Updated on Oct 31, 2023

Page view(s)

198
Updated on Dec 9, 2024

Download(s) 20

363
Updated on Dec 9, 2024

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.