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Gradient-based hybrid topology/shape optimization of bioinspired microvascular composites
Journal article   Open access   Peer reviewed

Gradient-based hybrid topology/shape optimization of bioinspired microvascular composites

Reza Pejman, Sherif H. Aboubakr, William H. Martin, Urmi Devi, Marcus Hwai Yik Tan, Jason F. Patrick and Ahmad R. Najafi
International journal of heat and mass transfer, v 144, 118606
Dec 2019
DOI: https://doi.org/10.1016/j.ijheatmasstransfer.2019.118606
url
https://doi.org/10.1016/j.ijheatmasstransfer.2019.118606View
Accepted (AM)Open Access (Publisher-Specific),  Open

Abstract

3D printing Active-cooling Hybrid topology/shape optimization Interface-enriched generalized finite element method Microvascular composites
• A HyTopS optimization scheme is presented for microvascular materials using IGFEM. • The analytical sensitivity for the HyTopS optimization scheme is derived. • The method is experimentally validated using a recent 3D-printing technique. • The computational cost is reduced by using IGFEM and simplified thermal model. Construction of bioinspired vasculature in synthetic materials enables multi-functional performance via mass transport through internal fluidic networks. However, exact reproduction of intricate, natural microvascular architectures is nearly impossible and thus there is a need to create practical, manufacturable designs guided by multi-physics principles. Here we present a Hybrid Topology/Shape (HyTopS) optimization scheme for microvascular materials using the Interface-enriched Generalized Finite Element Method (IGFEM). This new approach, which can simultaneously perform topological changes as well as shape optimization of microvascular materials, is demonstrated in the context of thermal regulation. In the current study, we present a new feature that enables the optimizer to augment network topology by creating/removing microchannels during the shape optimization process. This task has been accomplished by introducing a new set of design parameters, which act analogous to the penalization factor in the Solid Isotropic Material with Penalization (SIMP) method. The analytical sensitivity for the HyTopS optimization scheme has been derived and the sensitivity accuracy is verified against the finite difference method. We impose a set of geometrical constraints to account for manufacturing limitations and produce a design which is suitable for large-scale production without the need to perform post-processing on the obtained optimum. The method is validated by active-cooling experiments on vascularized carbon-fiber composites. Finally, we compare various application examples to demonstrate the advantages of the newly introduced HyTopS optimization scheme over solely shape optimization for microvascular materials.

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22 citations in Web of Science
27 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Engineering, Mechanical
Mechanics
Thermodynamics
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