NAFEMS Americas and Digital Engineering (DE) teamed up (once again) to present CAASE, the (now Virtual) Conference on Advancing Analysis & Simulation in Engineering, on June 16-18, 2020!

CAASE20 brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, to share experiences, discuss relevant trends, discover common themes, and explore future issues, including:
-What is the future for engineering analysis and simulation?
-Where will it lead us in the next decade?
-How can designers and engineers realize its full potential?
What are the business, technological, and human enablers that will take past successful developments to new levels in the next ten years?

Resource Abstract

A complete framework for DOE Studies in Occupant protection.

Among the most important studies during a vehicle’s design process are those of its performance in several regulated and proprietary Crash Test simulation scenarios. Particularly, the simulation studies for the safety of vehicle’s occupants are of prominent importance.

To achieve the highest possible standards of occupant safety, engineers pursue to improve the safety features of vehicles by simulating a wide range of crash scenario. In each scenario different factors affect the occupant injury results and the most effective way to identify these factors is to perform design of experiments (DOE) studies.

DOE studies can be used to optimize the vehicle's structure, in order to direct the force of a crash away from the occupants, and for the optimization of the restraint systems. For the second case many different properties of the restraint systems (seat-belt and airbag), of the seat and of the coupling between them and the Anthropomorphic Test Device (ATD) can be used as design variables to examine the injury results on the ATD.

The seating configurations of the future autonomous vehicles will add more design variables in such DOE studies. The position of the seat with respect to the driving direction along with the inclination of the seat will have to be studied.

In this paper a DOE study, for calculating the injury results variation of a Hybrid III 50th ATD in a front impact sled test, is demonstrated. This analysis carried out with the Optimization Tool of BETA CAE Systems’ ANSA pre- processor, and LS-DYNA. META post- processor was used to extract automatically all responses (injury peak values and time history curves). The friction between the ATD and the seat, between the ATD and the seat-belt and the actual position of the ATD are used as the design variables.