Adaptable Method for Dynamic Planning of 3D Spatial Wireframes Extrusion with Neural Networks and Robotic Automation-Reference-Cited by-同舟云学术

Adaptable Method for Dynamic Planning of 3D Spatial Wireframes Extrusion with Neural Networks and Robotic Automation

Published:2021-06-02 Issue: Volume: Page:
ISSN:2329-7662
Container-title:3D Printing and Additive Manufacturing
language:en
Short-container-title:3D Printing and Additive Manufacturing

Author:

Luo Dan¹,Xu Weiguo²

Affiliation:

1. Department of Architecture, School of Architecture, University of Queensland, Saint Lucia, Queensland, Australia.

2. Department of Architecture, School of Architecture, Tsinghua University, Beijing, China.

Publisher

Mary Ann Liebert Inc

Subject

Industrial and Manufacturing Engineering,Materials Science (miscellaneous)

Link

https://www.liebertpub.com/doi/pdf/10.1089/3dp.2020.0176

Reference32 articles.

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4. 4. Hack N, Lauer WV, Gramazio F, et al. Mesh-mould: Differentiation for enhanced performance. In: Gu N, Watanabe S, Erhan H, et al. eds. CAADRIA 2014: Rethinking Comprehensive Design, Kyoto, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA): Hong Kong, 2014; pp. 139–148.

5. 5. Pfandler P, Wangler T, Mata-Falcon J, et al. Potentials of steel fibres for mesh mould elements. In: First RILEM International Conference on Concrete and Digital Fabrication—Digital Concrete. Springer: Cham, 2018, Vol. 19; pp. 207–216.

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