Reinforcement approach using topology optimization
Publiceringsår
2024
Upphovspersoner
Altunay, Rabia; Suuronen, Jarkko; Rupp, Andreas; Immonen, Eero; Roininen, Lassi
Abstrakt
Reinforcement structures involve using advanced materials, optimization techniques, and computational methods to enhance the strength and performance of components. Modern multi-material three-dimensional printers can manufacture reinforced structures with complex topologies. We present a computational design method to reinforce an object through the Solid Isotropic Material with a Penalization method to decrease the structure's compliance by pinpointing particular areas in the structure that need strengthening while preserving the initial dimensions of the model. We demonstrate mathematically the typical topology optimization approach remains effective when substituting voids with an alternative material. The rationale of our approach is to utilize the Solid Isotropic Material with a Penalization for modelling a two-material structure, in which the second material replaces the voids indicated by the Solid Isotropic Material with a Penalization process. We apply our approach to a two-dimensional cantilever beam and perform a mesh convergence study to confirm our method's validity. Moreover, we compare the displacement and von Mises results of a baseline beam that has only a weak material and a reinforced beam that has two materials (weak and strong materials). The results indicate that von Mises stress is higher when the maximum displacement is lower in the reinforced beam.
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Publikationstyp
Publikationsform
Artikel
Moderpublikationens typ
Konferens
Artikelstyp
Annan artikel
Målgrupp
VetenskapligKollegialt utvärderad
Kollegialt utvärderadUKM:s publikationstyp
A4 Artikel i en konferenspublikationPublikationskanalens uppgifter
Moderpublikationens namn
Proceedings of the 38th ECMS International Conference on Modelling and Simulation ECMS 2024
Volym
38
Nummer
1
Sidor
330-337
ISSN
ISBN
Publikationsforum
Publikationsforumsnivå
1
Öppen tillgång
Öppen tillgänglighet i förläggarens tjänst
Ja
Öppen tillgång till publikationskanalen
Helt öppen publikationskanal
Parallellsparad
Nej
Övriga uppgifter
Vetenskapsområden
Matematik; Data- och informationsvetenskap
Nyckelord
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Förlagets internationalitet
Internationell
Språk
engelska
Internationell sampublikation
Nej
Sampublikation med ett företag
Nej
DOI
10.7148/2024-0330
Publikationen ingår i undervisnings- och kulturministeriets datainsamling
Ja