Evaluation of 3D robotic spray parameters on the performance of the developed sensing functional cementitious coating
This study explores the innovative use of 3D robotic spray for applying self-sensing cementitious coating, emphasising its potential for multifunctional smart concrete applications. The effects of spray parameters on the performance of self-sensing cementitious composites were investigated by system...
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sg-ntu-dr.10356-1806242024-10-19T16:49:04Z Evaluation of 3D robotic spray parameters on the performance of the developed sensing functional cementitious coating Wang, Lining Lu, Bing Wang, Xiangyu Tan, Ming Jen Li, Holden King Ho Wong, Teck Neng School of Mechanical and Aerospace Engineering Singapore Centre for 3D Printing Engineering Robotic spray 3D concreteprinting This study explores the innovative use of 3D robotic spray for applying self-sensing cementitious coating, emphasising its potential for multifunctional smart concrete applications. The effects of spray parameters on the performance of self-sensing cementitious composites were investigated by systematically examining the impact of nozzle travel speed, air injection pressure, nozzle standoff distance, and spray direction on the self-sensing coating. In-depth analyses were conducted on mechanical strength, coating adhesion properties, and sensing performance. Micro-CT was performed to investigate the coating's inherent porosity. This study evaluated the sensing performance of the coatings by analysing their piezoresistive behaviour under cyclic compression and bending. Furthermore, it demonstrated the coating's capacity for real-time structural health monitoring by evaluating its performance under compressive and bending stresses until failure. This research underscores the significant impact of spray parameters on optimising the sensing capabilities of the self-sensing spray coating, highlighting its potential for advanced real-time structural health monitoring. 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, CES_SDC Pte Ltd, and Chip Eng Seng Corporation Ltd. 2024-10-15T06:22:13Z 2024-10-15T06:22:13Z 2024 Journal Article Wang, L., Lu, B., Wang, X., Tan, M. J., Li, H. K. H. & Wong, T. N. (2024). Evaluation of 3D robotic spray parameters on the performance of the developed sensing functional cementitious coating. Virtual and Physical Prototyping, 19(1), 2383969-. https://dx.doi.org/10.1080/17452759.2024.2383969 1745-2759 https://hdl.handle.net/10356/180624 10.1080/17452759.2024.2383969 2-s2.0-85200220834 1 19 2383969 en Virtual and Physical Prototyping © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. application/pdf |
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Engineering Robotic spray 3D concreteprinting Wang, Lining Lu, Bing Wang, Xiangyu Tan, Ming Jen Li, Holden King Ho Wong, Teck Neng Evaluation of 3D robotic spray parameters on the performance of the developed sensing functional cementitious coating |
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This study explores the innovative use of 3D robotic spray for applying self-sensing cementitious coating, emphasising its potential for multifunctional smart concrete applications. The effects of spray parameters on the performance of self-sensing cementitious composites were investigated by systematically examining the impact of nozzle travel speed, air injection pressure, nozzle standoff distance, and spray direction on the self-sensing coating. In-depth analyses were conducted on mechanical strength, coating adhesion properties, and sensing performance. Micro-CT was performed to investigate the coating's inherent porosity. This study evaluated the sensing performance of the coatings by analysing their piezoresistive behaviour under cyclic compression and bending. Furthermore, it demonstrated the coating's capacity for real-time structural health monitoring by evaluating its performance under compressive and bending stresses until failure. This research underscores the significant impact of spray parameters on optimising the sensing capabilities of the self-sensing spray coating, highlighting its potential for advanced real-time structural health monitoring. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Wang, Lining Lu, Bing Wang, Xiangyu Tan, Ming Jen Li, Holden King Ho Wong, Teck Neng |
format |
Article |
author |
Wang, Lining Lu, Bing Wang, Xiangyu Tan, Ming Jen Li, Holden King Ho Wong, Teck Neng |
author_sort |
Wang, Lining |
title |
Evaluation of 3D robotic spray parameters on the performance of the developed sensing functional cementitious coating |
title_short |
Evaluation of 3D robotic spray parameters on the performance of the developed sensing functional cementitious coating |
title_full |
Evaluation of 3D robotic spray parameters on the performance of the developed sensing functional cementitious coating |
title_fullStr |
Evaluation of 3D robotic spray parameters on the performance of the developed sensing functional cementitious coating |
title_full_unstemmed |
Evaluation of 3D robotic spray parameters on the performance of the developed sensing functional cementitious coating |
title_sort |
evaluation of 3d robotic spray parameters on the performance of the developed sensing functional cementitious coating |
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2024 |
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https://hdl.handle.net/10356/180624 |
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1814777714064752640 |