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)

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Form-Finding, Structural Optimization, Curve Parameter Method, Fatness Parameter Method, Metal 3D-Printing, Space Frame Node
Divisions: Faculty of Technology
Faculty of Technology > School of Engineering
Depositing User: Michelle Marshall
Date Deposited: 14 May 2019 14:50
Last Modified: 18 Dec 2019 16:08
URI: http://sure.sunderland.ac.uk/id/eprint/10770
ORCID for Vahid Hassani: ORCID iD orcid.org/0000-0001-6724-2520

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