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 |
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mathematics-11-01499-v2.pdf | 10.5 MB | Adobe PDF | View/Open |
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