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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Form-Finding and Structural Shape Optimization of the Metal 3D-Printed Node

Hassani, Vahid, Khabazi, Zubin, Raspall, Felix, Banon, Carlos and Rosen, David (2019) Form-Finding and Structural Shape Optimization of the Metal 3D-Printed Node. In: Proceedings of CAD'19, 2019, 24-26 June 2019, Singapore. (Submitted)

Item Type: Conference or Workshop Item (Paper)

Abstract

In the last few years, considerable attention has been paid to additive manufacturing (AM) technologies to redesign and modify the industrial products with regard to its merits. At the initial stage of technology development, AM was mostly used as a building platform for prototyping, whereas its usage has been recently extended to industrial applications. Amid the different methods of AM technology, the development of metal AM, in particular, Powder Bed Fusion (PBF) and metal Binder Jetting (MBJ), facilitate the production of high-quality and complex parts in several sectors of industry such as aerospace, medical, architecture and civil engineering. Understanding the novel advantage of metal 3D-printing in the development of high-performance and functional parts for applications in the construction sector enables researchers to propose different design and form-finding methods for construction components.

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More Information

Uncontrolled Keywords: Form-Finding, Structural Optimization, Curve Parameter Method, Fatness Parameter Method, Metal 3D-Printing, Space Frame Node
Depositing User: Michelle Marshall

Identifiers

Item ID: 10770
Identification Number: https://doi.org/10.14733/cadconfP.2019.24-28
URI: http://sure.sunderland.ac.uk/id/eprint/10770
Official URL: http://www.cadconferences.com/cad19_1-53.html#.XNr...

Users with ORCIDS

ORCID for Vahid Hassani: ORCID iD orcid.org/0000-0001-6724-2520

Catalogue record

Date Deposited: 14 May 2019 14:50
Last Modified: 18 Dec 2019 16:08

Contributors

Author: Vahid Hassani ORCID iD
Author: Zubin Khabazi
Author: Felix Raspall
Author: Carlos Banon
Author: David Rosen

University Divisions

Faculty of Technology
Faculty of Technology > School of Engineering

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