A Hybrid Algorithm for Topology Optimization of Additive Manufactured Structures

Adedeji Aremu, Ian Ashcroft, Ricky Wildman, Richard Hague, David Brackett

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

4 Citations (Scopus)

Abstract

Most topology (TO) algorithms involve the penalization of intricate structural features to eliminate manufacturing difficulties. Since additive manufacturing is less dependent on manufacturing constraints, it becomes necessary to adapt these algorithms for AM. We propose a hybrid algorithm consisting of an adaptive meshing strategy (AMS) and a modified form of the bidirectional evolutionary structural optimisation (BESO) method. By solving a standard cantilever problem, we show that the hybrid method offers improved performance over the standard BESO method. It is proposed that the new method is more suitable for optimising structures for AM in a computational efficient manner.
Original languageEnglish
Title of host publication22nd Annual International Solid Freeform Fabrication Symposium
PublisherUniversity of Texas at Austin
Pages279-289
Number of pages10
Publication statusPublished - 2011
Externally publishedYes
Event22nd Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference - Austin, United States
Duration: 8 Aug 201110 Aug 2011
Conference number: 22

Conference

Conference22nd Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference
CountryUnited States
CityAustin
Period8/08/1110/08/11

Bibliographical note

Manuscripts for this conference are available for free download at the Lab for Freeform Fabrication website:
http://utwired.engr.utexas.edu/lff/symposium/proceedingsArchive/toc.cfm.

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