Search
Numerical modelling of different airbag folding patterns and their influence on occupant responses in frontal vehicle impact
Abstract
This paper presented a procedure for airbag folding for the application in occupant safety studies and analysed the influence of different airbag folding patterns on the occupant severity in frontal impact. Airbags were folded in two patterns: zig-zag and top-roll, using two folding techniques: Initial Metric Method and Explicit Folding. The explicit folding was found to be more expensive in terms of preparation time. However, this approach provided more control over the whole folding process. The Initial Metric Method was more robust, however, it’s hard to apply for complex folding patterns. Deployments of airbags were validated against experimental data of pendulum tests. Those airbag models were applied to 2006 Ford F250 pickup truck. This vehicle was used for simulations of frontal vehicle impact where the 50th male Hybrid III crash test dummy was an occupant. Results of this simulation were compared with an actual test with a similar vehicle, under the same impact conditions. Results showed the head and chest accelerations were lower for top-roll folded airbag cases, however neck normal forces were higher compared to zig-zag folded airbag. The internal pressure in the early stage of deployment was 33% higher for the top-roll folded airbags.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (2)
-
Howie Fang Ph. D.
- Liberty University, Lynchburg, VA, USA
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
pages 1 - 16,
ISSN: 1358-8265 - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Pachocki Ł., Fang H.: Numerical modelling of different airbag folding patterns and their influence on occupant responses in frontal vehicle impact// INTERNATIONAL JOURNAL OF CRASHWORTHINESS -, (2024), s.1-16
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/13588265.2024.2348381
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
seen 9 times