Abstract
The Bi-directional Evolutionary Structural Optimisation (BESO) method had been used by many authors for the optimisation of structures. This work sets out to investigate the effect of key optimisation parameters utilized in the BESO method, the evolution rate and the filter radius, on the outcome of the optimisation. An understanding of the interaction of these factors in the optimisation process enables a more efficient way to produce optimised components that can fully capitalise on the capabilities of additive manufacturing.
| Original language | English |
|---|---|
| Title of host publication | 13th Asia-Pacific Symposium on Engineering Plasticity and Its Applications (AEPA 2016) |
| Subtitle of host publication | December 4-8, 2016, Hiroshima, Japan |
| Editors | Fusahito Yoshida, Hiroshi Hamasaki |
| Publisher | Trans Tech Publications |
| Pages | 529-534 |
| Number of pages | 6 |
| ISBN (Print) | 9783035710243 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | Asia-Pacific Conference on Engineering Plasticity and Its Applications 2016 - Hiroshima, Japan Duration: 4 Dec 2016 → 8 Dec 2016 Conference number: 13th |
Publication series
| Name | Key Engineering Materials |
|---|---|
| Publisher | Scientific.Net |
| Volume | 725 KEM |
| ISSN (Print) | 1013-9826 |
| ISSN (Electronic) | 1662-9795 |
Conference
| Conference | Asia-Pacific Conference on Engineering Plasticity and Its Applications 2016 |
|---|---|
| Abbreviated title | AEPA 2016 |
| Country/Territory | Japan |
| City | Hiroshima |
| Period | 4/12/16 → 8/12/16 |
Keywords
- BESO
- FEA
- Optimisation
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