Topology optimization of gas flow channel routes in an automotive fuel cell

Kim, C.; Sun, Hailin

doi:10.1007/s12239-012-0078-4

Cited by 23 publications

(11 citation statements)

References 10 publications

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“…Schäpper et al [95] used more advanced reaction-kinetics using multiple convection-diffusion type equations to optimise microbioreactors. Kim and Sun [96] optimised the gas distribution channels in automotive fuel cells. Makhija et al [97] optimised a passive micromixer using a porosity model for LBM.…”

Section: Species Transportmentioning

confidence: 99%

A Review of Topology Optimisation for Fluid-Based Problems

Alexandersen

Andreasen

2020

Fluids

199

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This review paper provides an overview of the literature for topology optimisation of fluid-based problems, starting with the seminal works on the subject and ending with a snapshot of the state of the art of this rapidly developing field. “Fluid-based problems” are defined as problems where at least one governing equation for fluid flow is solved and the fluid–solid interface is optimised. In addition to fluid flow, any number of additional physics can be solved, such as species transport, heat transfer and mechanics. The review covers 186 papers from 2003 up to and including January 2020, which are sorted into five main groups: pure fluid flow; species transport; conjugate heat transfer; fluid–structure interaction; microstructure and porous media. Each paper is very briefly introduced in chronological order of publication. A quantititive analysis is presented with statistics covering the development of the field and presenting the distribution over subgroups. Recommendations for focus areas of future research are made based on the extensive literature review, the quantitative analysis, as well as the authors’ personal experience and opinions. Since the vast majority of papers treat steady-state laminar pure fluid flow, with no recent major advancements, it is recommended that future research focuses on more complex problems, e.g., transient and turbulent flow.

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Section: Species Transportmentioning

confidence: 99%

A Review of Topology Optimisation for Fluid-Based Problems

Alexandersen

Andreasen

2020

Fluids

199

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“…In fact, topology optimization methods have been completely underutilized for battery systems in general. Several authors have applied these structural optimization methods to solid oxide fuel cells (SOFCs) [27,28,29,30], an entirely different electrochemical energy storage system. These works focused on the shape optimization, rather than topology optimization, of cathodes or gas channels in SOFCs, typically performing only twodimensional analysis.…”

Section: Introductionmentioning

confidence: 99%

Computational multiobjective topology optimization of silicon anode structures for lithium-ion batteries

Mitchell

Ortiz

2016

Journal of Power Sources

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This study utilizes computational topology optimization methods for the systematic design of optimal multifunctional silicon anode structures for lithium-ion batteries. In order to develop next generation high performance lithium-ion batteries, key design challenges relating to the silicon anode structure must be addressed, namely the lithiation-induced mechanical degradation and the low intrinsic electrical conductivity of silicon. As such this work considers two design objectives, the first being minimum compliance under design dependent volume expansion, and the second maximum electrical conduction through the structure, both of which are subject to a constraint on material volume. Density-based topology optimization methods are employed in conjunction with regularization techniques, a continuation scheme, and mathematical programming methods. The objectives are first considered individually, during which the influence of the minimum structural feature size and prescribed volume fraction are investigated. The methodology is subsequently extended to a bi-objective formulation to simultaneously address both the structural and conduction design criteria. The weighted sum method is used to derive the Pareto fronts, which demonstrate a clear trade-off between the competing design objectives. A rigid frame structure was found to be an excellent compromise between the structural and conduction design criteria, providing both the required structural rigidity and direct conduction pathways. The developments and results presented in this work provide a foundation for the informed design and development of silicon anode structures for high performance lithium-ion batteries.

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“…( 3) is expressed as a function of the concentration of the species of concern, c A = [A] = n A V . One possibility is to express a linear dependency between s and c A , as in [19]. Elsewhere, in [17] and [18], the reaction rate is limited by the ethanol production, or by the velocity eld, meaning that the reaction rate reaches a maximum value k for a specic concentration.…”

Section: The Physics Of Advection-diusion-reactionmentioning

confidence: 99%

“…This is due to the porous structure of the solid electrode, encouraging the ow through it in order to enhance the reaction. Kim et al [19] worked on PEM fuel cells optimization in order to maximize the reaction rate between hydrogen and oxygen. Their topology optimization method has been applied to dierent geometry initializations such as centered inlet and outlet, multi-terminal inlet and outlet or serpentine channels.…”

Section: Introductionmentioning

confidence: 99%

“…In these three studies: [1618], the catalyst for the reaction is located directly on the porous support, whereas in [19], the reaction takes place in the uid channels. In this last application, the specicity of a PEM fuel cell with dierent layers is taking into account: the optimization deals with the best way to feed reactant into a planar electrode and the solid has two functions: electrode supporting and uid routing.…”

Section: Introductionmentioning

confidence: 99%

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Reactive fluid flow topology optimization with the multi-relaxation time lattice Boltzmann method and a level-set function

Dugast

Favennec²,

Josset³

2020

Journal of Computational Physics

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This paper presents a topology optimization algorithm based on the lattice Boltzmann method coupled with a level-set method for increasing the eciency of reactive uid ows. The multi-relaxation time model is considered for the lattice Boltzmann collision operator, allowing higher Reynolds numbers ow simulations compared to the ordinary single-relaxation time model. The cost function gradient is obtained with the derivation of the adjoint-state formulation for the fully coupled problem. The proposed method is tested successfully on several numerical applications involving Reynolds numbers from 10 up to 1,000, as well as with dierent Damkohler and Peclet numbers. A limitation of the maximal pressure drop is also applied. The obtained results demonstrate that the proposed numerical method is robust and efcient for solving topology optimization problems of reactive uid ows, in dierent operating conditions.

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Topology optimization of gas flow channel routes in an automotive fuel cell

Cited by 23 publications

References 10 publications

A Review of Topology Optimisation for Fluid-Based Problems

A Review of Topology Optimisation for Fluid-Based Problems

Computational multiobjective topology optimization of silicon anode structures for lithium-ion batteries

Reactive fluid flow topology optimization with the multi-relaxation time lattice Boltzmann method and a level-set function

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