Multi-domain topology optimization with ant colony systems
Purpose - The purpose of this paper is to present a graph representation of the design space that is suitable for the ant colony optimization (ACO) method in topology optimization (TO) problems.Design methodology approach - The ACO is employed to obtain optimal routes in an equivalent graph represen...
Saved in:
Published in | Compel Vol. 30; no. 6; pp. 1792 - 1803 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Bradford
Emerald Group Publishing Limited
01.01.2011
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Purpose - The purpose of this paper is to present a graph representation of the design space that is suitable for the ant colony optimization (ACO) method in topology optimization (TO) problems.Design methodology approach - The ACO is employed to obtain optimal routes in an equivalent graph representation of the discretized design space, with each route corresponding to a given distribution of material.Findings - The problem associated with the maximization of the torque of a c-core magnetic actuator is investigated, in which part of the yoke is discretized into a 16×8 grid and can assume three different materials: air, pure iron and a magnetic material.Research limitations implications - The results of the c-core magnetic actuator problem, which are in agreement with literature available, show the adequacy of the proposed approach to TO of electromagnetic devices.Practical implications - The graph representation of the design space permits the solution of topological design problems with an arbitrary number of materials.Originality value - The results illustrate the potential of the methodology in dealing with multi-domain TO problems, and the possibility to extend the application to 3D problems. |
---|---|
Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0332-1649 2054-5606 |
DOI: | 10.1108/03321641111168101 |