BSG-Starcraft Radius Improvements of Particle Swarm Optimization Algorithm: An Application to Ceramic Matrix Composites
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | BSG-Starcraft Radius Improvements of Particle Swarm Optimization Algorithm: An Application to Ceramic Matrix Composites |
| Type de publication | Conference Paper |
| Year of Publication | 2014 |
| Auteurs | Chamoret D, Salmon S, Di Cesare N, Xu YJ |
| Editor | Siarry P, Idoumghar L, Lepagnot J |
| Conference Name | SWARM INTELLIGENCE BASED OPTIMIZATION (ICSIBO 2014) |
| Publisher | Univ Haute Alsace, Faculte Sci Tech; ROADEF; GDR MACS |
| Conference Location | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
| ISBN Number | 978-3-319-12970-9; 978-3-319-12969-3 |
| Mots-clés | Ceramic matrix composites, Finite element analysis, Microstructure modelling, Particle swarm optimization, Radius improvement, The BSG-Starcraft improvement, Thermal residual stresses |
| Résumé | The thermal residual stresses (TRS) induced in ceramic matrix composites (CMCs) with multi-layered interphases when cooling down from the processing temperature, have a significant influence on the mechanical behavior and lifetime of CMCs. The objective of this work is to minimize the TRS of the unidirectional CMCs with multilayered interphases by controlling the interphases thicknesses. A new Particle Swarm Optimization (PSO) algorithm is interfaced with a finite element code to find an optimal design and thereby significantly reduce the TRS within CMCs. This new PSO allows a faster convergence rate and gets a new effective stopping criteria based on real physical limits. |
| DOI | 10.1007/978-3-319-12970-9_18 |