Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alain Remouchamps"'
Autor:
Charles Chary, Etienne Lemaire, Marc François, Frédéric Duboeuf, Tom Van Eekelen, Alexandru Vargalui, Alain Remouchamps, Gonçalo Rodrigues
Publikováno v:
ESAFORM 2021.
Identified in the European strategy as a key enabling technology, Additive Manufacturing (AM) has a great potential for industries to reshape, improve and optimize product life cycle, with reduced environmental footprint such as material waste in pro
Autor:
Andy J. Keane, Norbert Kill, Jeffery A. Dixon, David J. J. Toal, Trevor T. Robinson, Jingbin Yang, Matthew Price, Diego Benito, Alain Remouchamps
Publikováno v:
Toal, D J J, Keane, A J, Benito, D, Dixon, J A, Yang, J, Price, M, Robinson, T, Remouchamps, A & Kill, N 2014, ' Multi-Fidelity Multidisciplinary Whole Engine Thermo-Mechanical Design Optimization ', Journal of Propulsion and Power, vol. 30, no. 6, pp. 1654-1666 . https://doi.org/10.2514/1.B35128
Traditionally, the optimization of a turbomachinery engine casing for tip clearance has involved either two-dimensional transient thermomechanical simulations or three-dimensional mechanical simulations. This paper illustrates that three-dimensional
Publikováno v:
Structural and Multidisciplinary Optimization. 44:739-750
In this paper, topology optimization is used to design aircraft pylons. Original results for two Airbus pylons are first presented. An innovative bi-level optimization scheme is then proposed, which combines topology and geometric optimizations. At t
Publikováno v:
Optimization and Engineering. 11:583-596
Advanced nonlinear analyses developed for estimating structural responses for recent applications for the aerospace industry lead to expensive computational times. However optimization procedures are necessary to quickly provide optimal designs. Seve
Autor:
Patrick Morelle, Alain Remouchamps
Publikováno v:
Volume 2: 28th Design Automation Conference.
The BOSS Quattro system (developed by Samtech s.a.) is an open architecture allowing to run various optimisation engines including gradient based methods (SQP, GCMMA, Conlin, MDAQ, ...), DOE and Response Surfaces, and Genetic Algorithms. This system