Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.490461
Title: Airbag simulation utilising Arbitrary Lagrangian Eulerian methodology for Out Of Position cases
Author: Khan, Mohammed Uzair
ISNI:       0000 0001 3598 3543
Awarding Body: University of Salford
Current Institution: University of Salford
Date of Award: 2008
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Abstract:
The deployment of car airbags can be lethal to an occupant of the vehicle when caught Out Of Position (OOP) as the envelope can establish contact with the person before completion of the explosive inflation process. This has resulted in severe injuries and fatalities in the past. The aim of this research study is to demonstrate the superior modelling and simulation process which utilises the Arbitrary Lagrangian Eulerian (ALE) algorithms, especially in OOP loading cases. This has been carried out using a transient dynamic finite element software package called LS-DYNA. The load cases considered are in accordance with the specific scenarios detailed by the governing body of the Federal Motor Vehicle Safety Standard (FMVSS). The investigation compares this relatively new technique with the popular numerical methodology based on the Control Volume formulation whose deficiencies become more prominent when OOP scenarios are considered. Test data provided by experimentalists at Jaguar Cars Limited compare very well with the simulated ones demonstrating the superiority of the ALE based formulations for OOP cases. Such evidence will contribute not only towards a better understanding of the detailed processes involved but also hasten the overall validation and acceptance of this method by the automobile regulatory authorities. It is hoped that the modelling and simulation lessons learned can be transferred to systems in non-automotive applications such as OOP inflation that might be encountered during deployment of slide-rafts, life vests and parachutes.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.490461  DOI: Not available
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