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Material-Density-Based Topology Optimization With Magnetic Nonlinearity by Means of Stabilized Sequential Linear Programming: SLPSTAB.
- Source :
-
IEEE Transactions on Magnetics . Mar2015, Vol. 51 Issue 3, p1-4. 4p. - Publication Year :
- 2015
-
Abstract
- The nonlinear magnetic properties of an iron core should be considered when topology optimization (TO) is applied to a realistic problem. However, a scheme for introduction of the magnetic nonlinearity to material-density-based TO has not been rigorously established. In this paper, TO by using material density with magnetic nonlinearity is proposed. The numerical instability of the sequential linear programming method is a well-known topic. The stabilized sequential linear programming method, which realizes the stabilized convergence characteristics of an objective function, is proposed and investigated in the 3-D design problem of a magnetic circuit. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 00189464
- Volume :
- 51
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Magnetics
- Publication Type :
- Academic Journal
- Accession number :
- 102288225
- Full Text :
- https://doi.org/10.1109/TMAG.2014.2361360