286. SIMP-Based Topology Optimization Of 3D Magnetic Circuits With Mechanical Constraints
Invited abstract in session WD-7: Optimization applications II, stream Optimization applications.
Wednesday, 11:25 - 12:40Room: M:I
Authors (first author is the speaker)
| 1. | Zakaria HOUTA
|
| ENSEEIHT, Laplace laboratory | |
| 2. | Nicolas LEBBE
|
| LAPLACE Laboratory | |
| 3. | Thomas HUGUET
|
| LAPLACE Laboratory | |
| 4. | Frédéric MESSINE
|
| LAPLACE-ENSEEIHT-INPT University of Toulouse |
Abstract
A topology optimization problem is a problem where the variables allow to define optimally the structure of certain parts of an object. This type of optimization is essential in many applications, such as the design of the structure of aircraft wings or electric motors. In our case, we are interested in optimizing the design of a 3D magnetic circuit which resembles a hall effect thruster. This circuit contains a variable area, which is descretized into small elements, and the optimization has to decide if each of these elements is vacuum or iron. The objective function to be optimized is defined from the magnetic field calculated in a target area. This magnetic field must correspond as well as possible to a fixed objective field, to ensure proper thruster operation.
One of the difficulties encountered in manufacturing topologically optimized magnetostatic structures found by solving the problem described above, is that they are not necessarily mechanically stable. In order to take this mechanical constraint into account, we have developed a SIMP-based topology optimization algorithm which relies on gradient information and on numerical simulations of both the mechanical deformation and the magnetostatic behavior of the structure. By comparing the designs obtained with those from magnetostatic optimization alone, our approach proves effective in obtaining efficient and robust designs.
Keywords
- SS - Advances in Nonlinear Optimization and Applications
- Large- and Huge-scale optimization
- Mixed integer nonlinear optimization
Status: accepted
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