Mixed topology optimization: A self-guided boundary-independent approach for power sources

Alizadeh, Mehrzad; Charoen-amornkitt, Patcharawat; Suzuki, Takahiro et al.

Energy Conversion and Management, 2023, 294, 117567

Number of Access:502（2025-07-27 20:56 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/92518

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Title
Mixed topology optimization: A self-guided boundary-independent approach for power sources
Creator
CreatorName
Alizadeh, Mehrzad
CreatorName
Charoen-amornkitt, Patcharawat
NRID
1000090711630 1000090711630
researchmap permalink
90711630 90711630
Scopus Author ID
56211077300 56211077300
CreatorName
Suzuki, Takahiro
NRID
1000030323794 1000030323794
researchmap permalink
shohji_tsushima shohji_tsushima
Scopus Author ID
7004721945 7004721945
CreatorName
Tsushima, Shohji
Subject
Electrochemical system
Mixed optimization
Power source
Topology optimization
Description
Alizadeh M., Charoen-amornkitt P., Suzuki T., et al. Mixed topology optimization: A self-guided boundary-independent approach for power sources. Energy Conversion and Management 294, 117567 (2023); https://doi.org/10.1016/j.enconman.2023.117567.
Abstract
As the use of electrochemical devices becomes more prevalent, advanced optimization techniques, such as topology optimization, are being employed to improve their performance. Among various electrochemical systems, power sources have an intrinsic best operating point that corresponds to the maximum output power. This study proposes a mixed topology optimization approach to enhance the performance of these systems by a simultaneous modification of electrode structure and the working condition. In contrast to the conventional approaches, the proposed method focuses on enhancement of the maximum power point. Thanks to its self-guidance feature, this technique outperforms conventional topology optimization methods and eliminates the need for a prior decision on the optimization starting point. Therefore, the proposed approach has a significant potential for adapting the material distribution to the best working condition. The proposed approach enables more effective topological optimization and takes the utilization of topology optimization in power sources to the next level.
Publisher
Elsevier Ltd
Source Title
Energy Conversion and Management
Volume (Issue)
294
Page
117567
Date of Issued
2023-10-15
Language
English
Handle URL
https://hdl.handle.net/11094/92518
PISSN
01968904
Relation.isIdenticalTo
DOI (Publisher Version)
https://doi.org/10.1016/j.enconman.2023.117567
Access Rights
open access
CopyRight
This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
oaire:version
Version of Record
Category
学術雑誌論文 Journal Article