Topology and Shape Optimization with Application to Electrical Machines

Publikation: Buch/Bericht/KonferenzbandBuch (Autorenwerk)Forschung

Abstract

The performance of an electric motor depends on the electromagnetic fields in its interior, which, among other factors, also depend on the geometry of the motor via the solution to Maxwell‘s equations. This thesis is concerned with the question of how to determine a motor geometry which is optimal with respect to a given criterion.

On the one hand, we perform shape optimization based on the concept of the shape derivative, i.e., the sensitivity of the objective function with respect to a smooth perturbation of the shape of some part of the motor. On the other hand, based on the concept of the topological derivative, we can also alter the topology of the motor by introducing new holes at points in its interior where it is beneficial for the performance. Finally, we combine these two design optimization approaches and, together with a special numerical treatment of the material interfaces, apply them to the optimization of electric motors.
Originalspracheenglisch
VerlagTrauner Verlag
Seitenumfang222
Band43
ISBN (Print)978-3-99062-128-8
PublikationsstatusVeröffentlicht - 2017

Publikationsreihe

NameSchriftenreihe Advances in Mechatronics
Herausgeber (Verlag)Trauner Verlag

Dies zitieren

Gangl, P. (2017). Topology and Shape Optimization with Application to Electrical Machines. (Schriftenreihe Advances in Mechatronics). Trauner Verlag.

Topology and Shape Optimization with Application to Electrical Machines. / Gangl, Peter.

Trauner Verlag, 2017. 222 S. (Schriftenreihe Advances in Mechatronics).

Publikation: Buch/Bericht/KonferenzbandBuch (Autorenwerk)Forschung

Gangl, P 2017, Topology and Shape Optimization with Application to Electrical Machines. Schriftenreihe Advances in Mechatronics, Bd. 43, Trauner Verlag.
Gangl P. Topology and Shape Optimization with Application to Electrical Machines. Trauner Verlag, 2017. 222 S. (Schriftenreihe Advances in Mechatronics).
Gangl, Peter. / Topology and Shape Optimization with Application to Electrical Machines. Trauner Verlag, 2017. 222 S. (Schriftenreihe Advances in Mechatronics).
@book{e7802e24589a4607b054a4d462baa494,
title = "Topology and Shape Optimization with Application to Electrical Machines",
abstract = "The performance of an electric motor depends on the electromagnetic fields in its interior, which, among other factors, also depend on the geometry of the motor via the solution to Maxwell‘s equations. This thesis is concerned with the question of how to determine a motor geometry which is optimal with respect to a given criterion. On the one hand, we perform shape optimization based on the concept of the shape derivative, i.e., the sensitivity of the objective function with respect to a smooth perturbation of the shape of some part of the motor. On the other hand, based on the concept of the topological derivative, we can also alter the topology of the motor by introducing new holes at points in its interior where it is beneficial for the performance. Finally, we combine these two design optimization approaches and, together with a special numerical treatment of the material interfaces, apply them to the optimization of electric motors.",
author = "Peter Gangl",
year = "2017",
language = "English",
isbn = "978-3-99062-128-8",
volume = "43",
series = "Schriftenreihe Advances in Mechatronics",
publisher = "Trauner Verlag",

}

TY - BOOK

T1 - Topology and Shape Optimization with Application to Electrical Machines

AU - Gangl, Peter

PY - 2017

Y1 - 2017

N2 - The performance of an electric motor depends on the electromagnetic fields in its interior, which, among other factors, also depend on the geometry of the motor via the solution to Maxwell‘s equations. This thesis is concerned with the question of how to determine a motor geometry which is optimal with respect to a given criterion. On the one hand, we perform shape optimization based on the concept of the shape derivative, i.e., the sensitivity of the objective function with respect to a smooth perturbation of the shape of some part of the motor. On the other hand, based on the concept of the topological derivative, we can also alter the topology of the motor by introducing new holes at points in its interior where it is beneficial for the performance. Finally, we combine these two design optimization approaches and, together with a special numerical treatment of the material interfaces, apply them to the optimization of electric motors.

AB - The performance of an electric motor depends on the electromagnetic fields in its interior, which, among other factors, also depend on the geometry of the motor via the solution to Maxwell‘s equations. This thesis is concerned with the question of how to determine a motor geometry which is optimal with respect to a given criterion. On the one hand, we perform shape optimization based on the concept of the shape derivative, i.e., the sensitivity of the objective function with respect to a smooth perturbation of the shape of some part of the motor. On the other hand, based on the concept of the topological derivative, we can also alter the topology of the motor by introducing new holes at points in its interior where it is beneficial for the performance. Finally, we combine these two design optimization approaches and, together with a special numerical treatment of the material interfaces, apply them to the optimization of electric motors.

M3 - Book

SN - 978-3-99062-128-8

VL - 43

T3 - Schriftenreihe Advances in Mechatronics

BT - Topology and Shape Optimization with Application to Electrical Machines

PB - Trauner Verlag

ER -