Journal article
Multiphysics topology optimization of a multifunctional structural battery composite
Structural and multidisciplinary optimization, v 66(3)
01 Mar 2023
Abstract
The structural battery composite (SBC) is a novel class of multifunctional materials with the ability to work as a lithium-ion battery that can withstand mechanical loads. The motivation of this study is to address one of the major challenges in the development of SBCs, which is a strong conflict in the structural and electrical demands for its electrolyte (i.e., high stiffness and high ionic conductivity). Furthermore, there is a design requirement that the electrochemical cycling should not result in overheating of the SBC. The novelty of this study is the development of an efficient multi-objective multiphysics density-based topology optimization framework that considers electrochemical/thermal/structural physics to identify the optimized design of a structural battery electrolyte (SBE). The optimization methodology is defined as solving a multi-objective problem of maximizing effective ionic conductivity and minimizing compliance of SBE. The problem is subjected to constraints on volume fraction and the maximum allowable temperature. The normalized-normal-constraint approach is utilized to generate a Pareto-front curve for this multi-objective problem. The proposed method is computationally efficient owing to utilizing a low-fidelity resistance network approach, for the electrochemical module and parallelizes the workload using portable, and extendable toolkit for scientific computing and message-passing interface. Several numerical examples are solved to demonstrate the applicability of the proposed methodology under different loading scenarios. The results reveal that the proposed methodology provides a better understanding of the required microstructural design of SBE for the performance improvement of structural battery composites.
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Details
- Title
- Multiphysics topology optimization of a multifunctional structural battery composite
- Creators
- Reza Pejman - Drexel UniversityAhmad Raeisi Najafi - Drexel University
- Publication Details
- Structural and multidisciplinary optimization, v 66(3)
- Publisher
- Springer Berlin Heidelberg
- Grant note
- CMMI-2143422 / National Science Foundation (http://dx.doi.org/10.13039/100000001) Office of Research, Drexel University (http://dx.doi.org/10.13039/100006497)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000935882400001
- Scopus ID
- 2-s2.0-85148322940
- Other Identifier
- 991020532106904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Multidisciplinary
- Mechanics