Deakin University
Browse

File(s) under permanent embargo

Optimizing 3D self-supporting topologies for additive manufacturing

conference contribution
posted on 2020-06-01, 00:00 authored by Yun-Fei (Jack) Fu, Kazem GhabraieKazem Ghabraie, Bernard RolfeBernard Rolfe, Yanan WangYanan Wang, Louis Chiu, Xiaodong Huang
Topology optimization can generate highly efficient designs without any prior structural configuration. Additive manufacturing (AM) has become its good partner as it can fabricate the complicated geometries obtained by topology optimization. Designing self-supporting topologies is an effective way to reduce the manufacturing cost caused by the use of support structures. This paper combines a newly developed smooth continuum topology optimization algorithm and Langelaar's AM filter to explore smooth 3D self-supporting topologies. The effectiveness of this combination is validated using a 3D numerical example.

History

Event

Association for Computing Machinery. Conference (12th : 2020 : Brisbane, Qld.,)

Series

Association for Computing Machinery Conference

Pagination

220 - 223

Publisher

Association for Computing Machinery

Location

Brisbane, Qld. (Online)

Place of publication

New York, N.Y.

Start date

2020-06-22

End date

2020-06-24

ISBN-13

9781450377034

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

[Unknown]

Title of proceedings

ICCMS 2020 : Proceedings of the 12th International Conference on Computer Modeling and Simulation

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC