Topology Optimization of Soft Magnetic Composites with Integer Programming

Xiaotao Ren; Adrien Thabuis; Antti Hannukainen; Romain Corcolle; Yves Perriard

doi:10.1109/CEFC55061.2022.9940778

Topology Optimization of Soft Magnetic Composites with Integer Programming

Xiaotao Ren, Adrien Thabuis, Antti Hannukainen, Romain Corcolle, Yves Perriard

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

Abstrakti

Soft Magnetic Composites (SMCs) have huge application potential in electrical devices. With the development of additive manufacturing (AM), the properties of SMCs can be boosted. It is therefore required an optimization algorithm to design SMCs considering the AM capacity. Since the magnetic and loss properties of SMCs are highly sensitive to the shape evolution of the components, we introduce a topology optimization approach with integer programming. At each iteration, the components of the composite are determined with crisp boundary. This optimization algorithm converges rapidly because of the topology gradient and the optimal topology is reached.

Alkuperäiskieli	Englanti
Otsikko	CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings
Kustantaja	IEEE
ISBN (elektroninen)	978-1-6654-6833-6
DOI - pysyväislinkit	https://doi.org/10.1109/CEFC55061.2022.9940778
Tila	Julkaistu - 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE Conference on Electromagnetic Field Computation - Virtual, Online, Yhdysvallat Kesto: 24 lokak. 2022 → 26 lokak. 2022

Conference

Conference	IEEE Conference on Electromagnetic Field Computation
Lyhennettä	CEFC
Maa/Alue	Yhdysvallat
Kaupunki	Virtual, Online
Ajanjakso	24/10/2022 → 26/10/2022

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10.1109/CEFC55061.2022.9940778

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@inproceedings{1125926535054f83b28b84d942bfdeb1,

title = "Topology Optimization of Soft Magnetic Composites with Integer Programming",

abstract = "Soft Magnetic Composites (SMCs) have huge application potential in electrical devices. With the development of additive manufacturing (AM), the properties of SMCs can be boosted. It is therefore required an optimization algorithm to design SMCs considering the AM capacity. Since the magnetic and loss properties of SMCs are highly sensitive to the shape evolution of the components, we introduce a topology optimization approach with integer programming. At each iteration, the components of the composite are determined with crisp boundary. This optimization algorithm converges rapidly because of the topology gradient and the optimal topology is reached.",

keywords = "additive manufacturing (AM), adjoint, binary structure, gradient, Solid Isotropic Material with Penalization(SIMP)",

author = "Xiaotao Ren and Adrien Thabuis and Antti Hannukainen and Romain Corcolle and Yves Perriard",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE Conference on Electromagnetic Field Computation, CEFC ; Conference date: 24-10-2022 Through 26-10-2022",

year = "2022",

doi = "10.1109/CEFC55061.2022.9940778",

language = "English",

booktitle = "CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings",

publisher = "IEEE",

address = "United States",

}

Ren, X, Thabuis, A, Hannukainen, A, Corcolle, R & Perriard, Y 2022, Topology Optimization of Soft Magnetic Composites with Integer Programming. julkaisussa CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings. IEEE, IEEE Conference on Electromagnetic Field Computation, Virtual, Online, Yhdysvallat, 24/10/2022. https://doi.org/10.1109/CEFC55061.2022.9940778

TY - GEN

T1 - Topology Optimization of Soft Magnetic Composites with Integer Programming

AU - Ren, Xiaotao

AU - Thabuis, Adrien

AU - Hannukainen, Antti

AU - Corcolle, Romain

AU - Perriard, Yves

PY - 2022

Y1 - 2022

N2 - Soft Magnetic Composites (SMCs) have huge application potential in electrical devices. With the development of additive manufacturing (AM), the properties of SMCs can be boosted. It is therefore required an optimization algorithm to design SMCs considering the AM capacity. Since the magnetic and loss properties of SMCs are highly sensitive to the shape evolution of the components, we introduce a topology optimization approach with integer programming. At each iteration, the components of the composite are determined with crisp boundary. This optimization algorithm converges rapidly because of the topology gradient and the optimal topology is reached.

AB - Soft Magnetic Composites (SMCs) have huge application potential in electrical devices. With the development of additive manufacturing (AM), the properties of SMCs can be boosted. It is therefore required an optimization algorithm to design SMCs considering the AM capacity. Since the magnetic and loss properties of SMCs are highly sensitive to the shape evolution of the components, we introduce a topology optimization approach with integer programming. At each iteration, the components of the composite are determined with crisp boundary. This optimization algorithm converges rapidly because of the topology gradient and the optimal topology is reached.

KW - additive manufacturing (AM)

KW - adjoint

KW - binary structure

KW - gradient

KW - Solid Isotropic Material with Penalization(SIMP)

UR - http://www.scopus.com/inward/record.url?scp=85143061167&partnerID=8YFLogxK

U2 - 10.1109/CEFC55061.2022.9940778

DO - 10.1109/CEFC55061.2022.9940778

M3 - Conference article in proceedings

AN - SCOPUS:85143061167

BT - CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings

PB - IEEE

T2 - IEEE Conference on Electromagnetic Field Computation

Y2 - 24 October 2022 through 26 October 2022

ER -

Topology Optimization of Soft Magnetic Composites with Integer Programming

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