Suitability of SIMP and BESO Topology Optimization Algorithms for Additive Manufacture

Adedeji Aremu, Ian Ashcroft, Richard Hague, Ricky Wildman, Chris Tuck

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

16 Citations (Scopus)

Abstract

Additive manufacturing (AM) is expanding the range of designable geometries, but to exploit this evolving design space new methods are required to find optimum solutions. Finite element based topology optimisation (TO) is a powerful method of structural optimization, however the results obtained tend to be dependent on the algorithm used, the algorithm parameters and the finite element mesh. This paper will discuss these issues as it relates to the SIMP and BESO algorithms. An example of the application of topological optimization to the design of improved structures is given.
Original languageEnglish
Title of host publication21st Annual International Solid Freeform Fabrication Symposium
Place of PublicationAustin
PublisherUniversity of Texas at Austin
Pages679-692
Number of pages14
Publication statusPublished - 2010
Externally publishedYes
Event21st Annual International Solid Freeform Fabrication Symposium - Austin, United States
Duration: 9 Aug 201011 Aug 2010
Conference number: 21

Conference

Conference21st Annual International Solid Freeform Fabrication Symposium
CountryUnited States
CityAustin
Period9/08/1011/08/10

Bibliographical note

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

Fingerprint Dive into the research topics of 'Suitability of SIMP and BESO Topology Optimization Algorithms for Additive Manufacture'. Together they form a unique fingerprint.

  • Cite this

    Aremu, A., Ashcroft, I., Hague, R., Wildman, R., & Tuck, C. (2010). Suitability of SIMP and BESO Topology Optimization Algorithms for Additive Manufacture. In 21st Annual International Solid Freeform Fabrication Symposium (pp. 679-692). Austin: University of Texas at Austin.