A multi-material extrusion nozzle for functionally graded concrete printing

F. Craveiro, H. Bártolo, J. P. Duarte, P. J. Bártolo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

3D printing (3DP) is one of the breakthrough innovations for architecture, engineering and the construction industry. However, most 3DP technologies are limited to the design and fabrication of physical parts with homogeneous material properties, assuring structural safety but with no efficient use of material resources. A different strategy must be used to produce building components with varying material constituent or distribution. A Computational Fluid Dynamics (CFD) analysis was carried out to simulate the behavior of two 3D printing print-heads designed to combine two different materials, one composed by a simple “Y” shape, and the other integrating a dynamic mixing rod. The dynamic one presents a good mixing behavior, allowing to produce building components with locally optimized performance. Future work will include experimental tests and the analysis of new materials to compare simulated and experimental material behaviors.

Original languageEnglish (US)
Title of host publicationIndustry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019
EditorsPaulo Jorge da Silva Bartolo, Fernando Moreira da Silva, Shaden Jaradat, Helena Bartolo
PublisherCRC Press/Balkema
Pages130-135
Number of pages6
ISBN (Electronic)9780367422721
StatePublished - 2019
Event2nd International Conference on Sustainable Smart Manufacturing, S2M 2019 - Manchester, United Kingdom
Duration: Apr 9 2019Apr 11 2019

Publication series

NameIndustry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019

Conference

Conference2nd International Conference on Sustainable Smart Manufacturing, S2M 2019
Country/TerritoryUnited Kingdom
CityManchester
Period4/9/194/11/19

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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