The effects of topology and relative density of lattice liners on traumatic brain injury mitigation.


Journal

Journal of biomechanics
ISSN: 1873-2380
Titre abrégé: J Biomech
Pays: United States
ID NLM: 0157375

Informations de publication

Date de publication:
03 Dec 2019
Historique:
received: 19 06 2019
revised: 19 09 2019
accepted: 26 09 2019
pubmed: 20 10 2019
medline: 25 8 2020
entrez: 20 10 2019
Statut: ppublish

Résumé

This paper evaluates the effects of topology and relative density of helmet lattice liners on mitigating Traumatic Brain Injury (TBI). Finite Element (FE) models of new lattice liners with prismatic and tetrahedral topologies were developed. A typical frontal head impact in motorcycle accidents was simulated, and linear and rotational accelerations of the head were recorded. A high-fidelity FE model of TBI was loaded with the accelerations to predict the brain response during the accident. The results show that prismatic lattices have better performance in preventing TBI than tetrahedral lattices and EPS that is typically used in helmets. Moreover, varying the cell size through the thickness of the liner improves its performance, but this effect was marginal. The relative density also has a significant effect, with lattices with lower relative densities providing better protection. Across different lattices studied here, the prismatic lattice with a relative density of 6% had the best performance and reduced the peak linear and rotational accelerations, Head Injury Criterion (HIC), brain strain and strain rate by 48%, 37%, 49%, 32% and 65% respectively, compared to the EPS liner. These results can be used to guide the design of lattice helmet liners for better mitigation of TBI.

Identifiants

pubmed: 31627837
pii: S0021-9290(19)30602-5
doi: 10.1016/j.jbiomech.2019.109376
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109376

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Siamak Farajzadeh Khosroshahi (SF)

Dyson School of Design Engineering, Imperial College London, London, UK. Electronic address: s.f.khosroshahi@imperial.ac.uk.

Harry Duckworth (H)

Dyson School of Design Engineering, Imperial College London, London, UK.

Ugo Galvanetto (U)

Department of Industrial Engineering, University of Padova, Padova, Italy.

Mazdak Ghajari (M)

Dyson School of Design Engineering, Imperial College London, London, UK.

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Classifications MeSH