Optimal design of a micro-tubular fuel cell
Gabriel Delgado

TL;DR
This paper presents an inverse homogenization approach to optimize the micro-structure of micro-tubular fuel cells, leveraging 3D printing capabilities to enhance power density and efficiency in aeronautic propulsion.
Contribution
It introduces a novel shape gradient and level-set based method for designing micro-tubular fuel cell structures with maximized contact surface under pressure and permeability constraints.
Findings
Optimal micro-structure design for fuel cells achieved.
Enhanced contact surface improves fuel cell efficiency.
Method enables complex geometries via additive manufacturing.
Abstract
We discuss the problem of the optimal design of a micro-tubular fuel cell applying an inverse homogenization technique. Fuel cells are extremely clean and efficient electrochemical power generation devices, made up of a cathode/electrolyte/anode structure, whose energetic potential has not being fully exploited in propulsion systems in aeronautics due to their low power densities. Nevertheless, thanks to the recent development of additive layer manufacturing techniques (3D printing), complex structures usually impossible to design with conventional manufacturing techniques can be constructed with a low cost, allowing notably to build porous or foam-type structures for fuel cells. We seek thus to come up with the micro-structure of an arrangement of micro-tubular cathodes which maximizes the contact surface subject to a pressure drop and a permeability constraint. The optimal periodic…
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Taxonomy
TopicsTopology Optimization in Engineering · Composite Material Mechanics · Advanced Multi-Objective Optimization Algorithms
