2019
DOI: 10.1088/1757-899x/501/1/012018
|View full text |Cite
|
Sign up to set email alerts
|

Development of Motorcycle helmet for pre-school Children Using Metal Foam

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
1
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 3 publications
0
1
0
Order By: Relevance
“…The standard helmet drop test based on the DOT FMVSS 218 required an anvil to place horizontally, while the modified drop test required a flat anvil to make an angle of 45 • with the horizontal plane. This head-helmet finite element model was validated against the DOT drop tests conducted by Prasartthong et al [39].…”
Section: Impact Configurations According To the Dot Fmvss 218mentioning
confidence: 99%
See 1 more Smart Citation
“…The standard helmet drop test based on the DOT FMVSS 218 required an anvil to place horizontally, while the modified drop test required a flat anvil to make an angle of 45 • with the horizontal plane. This head-helmet finite element model was validated against the DOT drop tests conducted by Prasartthong et al [39].…”
Section: Impact Configurations According To the Dot Fmvss 218mentioning
confidence: 99%
“…A flat anvil was used for the crown and the front locations, while a hemisphere anvil was used for the rear and side locations. The headhelmet model was set to impact the rigid flat and hemisphere anvils at 5.86 and 5.08 m/s, respectively, to simulate the experiments of Prasartthong et al [39]. The anvil was restricted to move in all directions.…”
Section: Impact Configurations According To the Dot Fmvss 218mentioning
confidence: 99%
“…Advanced FE models of helmets have been developed, accurately modeling its components geometry, material properties, contact/interactions, etc. Some of these models were developed with the goal to optimize the helmet design according to specific criteria [23,27,28,[30][31][32][33][34][35][36][37][38]. These coupled with FE head models make it possible to predict traumatic brain injuries [39][40][41][42][43][44][45][46][47][48][49].…”
Section: Introductionmentioning
confidence: 99%