dc.contributor.author | Struž, Jiří | |
dc.contributor.author | Hruzík, Lukáš | |
dc.contributor.author | Klapetek, Lukáš | |
dc.contributor.author | Trochta, Miroslav | |
dc.date.accessioned | 2023-12-08T08:40:12Z | |
dc.date.available | 2023-12-08T08:40:12Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | MM Science Journal. 2023, vol. 2023, p. 6346-6353. | cs |
dc.identifier.issn | 1803-1269 | |
dc.identifier.issn | 1805-0476 | |
dc.identifier.uri | http://hdl.handle.net/10084/151808 | |
dc.description.abstract | In recent years, topological optimization has become a powerful
tool for designers and engineers in the technical world. The
principle of this method is based on optimizing a given
optimization region by minimizing or maximizing one or more
objective functions, e.g. stiffness, mass, or natural frequency of
the structure. For this reason, software companies developing
CAD or FEM software have included topological optimization in
their portfolio, either as a modular part of the software or as a
dedicated program. In general, users of these programs do not
have a mathematical definition of the software background, and
it is not clear what variations in calculations may occur when
using different software. For this reason, a comparative analysis
of the selected software was performed to determine the
differences between the results assuming the same boundary
conditions and machine parts such as computing time, weight
and volume. | cs |
dc.language.iso | en | cs |
dc.publisher | MM Science | cs |
dc.relation.ispartofseries | MM Science Journal | cs |
dc.relation.uri | https://doi.org/10.17973/MMSJ.2023_03_2022107 | cs |
dc.subject | topology optimization | cs |
dc.subject | design region | cs |
dc.subject | computing time | cs |
dc.subject | commercial software | cs |
dc.subject | weight reduction | cs |
dc.subject | 3D printing | cs |
dc.title | Comparative analysis of different softwares in terms of parameters optimized by topological optimization | cs |
dc.type | article | cs |
dc.identifier.doi | 10.17973/MMSJ.2023_03_2022107 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 2023 | cs |
dc.description.lastpage | 6353 | cs |
dc.description.firstpage | 6346 | cs |
dc.identifier.wos | 000944200200001 | |