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Technical Paper

Laser and MIG Weld Failure CAE Modeling Method for Aluminum Structure Crash Analysis

2002-07-09
2002-01-2019
A CAE modeling methodology has been developed for modeling laser and MIG (metal-inert-gas) weld separations. This new methodology can simulate weld failure in CAE aluminum vehicle crash analysis using a failure formulation derived from coupon test results. It is a generalized method and is intended to be applicable to any combination of the parameters such as thickness, material, and type of weld and impact speed. The method has been validated on the crash tests on straight and S-type rails with a hat section. The CAE prediction based on the modeling procedure correlates well with the test results for all the rail crush cases. The finite element analysis was conducted in RADIOSS environment. The welds are modeled using the beam-type spring element with the new weld damage parameters. The baseline curves for the spring element and the detailed projection equations developed are provided in this paper.
Technical Paper

Aluminum Vehicle Side Impact Design, Test and CAE

2002-03-04
2002-01-0249
Ford designed and built a midsize family sedan for the PNGV (Partnership for a New Generation of Vehicle). The side impact performance of the aluminum vehicle and the current CAE capability was studied. The vehicle was tested according to the specifications of FMVSS 214. The results show the vehicle meet the federal safety requirements. The impact performances of the front and rear dummies were comparable to those of the steel counterpart. CAE analysis was conducted to develop the body component design and to predict the structural and dummy responses. The results show that without modeling of the joint (rivet and weld) separation, the accuracy of the CAE crash analysis for this aluminum vehicle was inadequate. When empirical separation criteria were incorporated to model the joint, analysis results correlated with the test. Further development of robust modeling methods for joint separation is needed to improve the prediction of aluminum structure crash responses.
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