Adhesive Failure Prediction in Crash Simulations

2019-26-0297

01/09/2019

Event
Symposium on International Automotive Technology 2019
Authors Abstract
Content
Structural adhesive is a good alternative to provide required strength at joinery of similar and dissimilar materials. Adhesive joinery plays a critical role to maintain structural integrity during vehicle crash scenario. Robust adhesive failure definitions are critical for accurate predictions of structural performance in crash Computer Aided Engineering (CAE) simulations.
In this paper, structural adhesive material characterization challenges like comprehensive In-house testing and CAE correlation aspects are discussed. Considering the crash loading complexity, test plan is devised for identification of strength and failure characteristics at 0°, 45°, 75°, 90°, and Peel loading conditions. Coupon level test samples were prepared with high temperature curing of structural adhesive along with metal panels. Test fixtures were prepared to carryout testing using Instron VHS machine under quasi-static and dynamic loading.
Various material models available in LSDYNA are studied and MAT169 (*MAT_ARUP_ADHESIVE) material model is selected for adhesive material characterization. Finite Element (FE) models inline to the test conditions were prepared. Sensitivity studies carried out to understand the significance of critical parameters in material model and modelling practices. Test and CAE correlation for all the test configurations are established considering quasi-static and dynamic scenarios. Methodology developed for adhesive material modelling and simulations are carried out at BIW and vehicle level using characterized adhesive material model.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-26-0297
Pages
7
Citation
Rao, H., Tiwari, S., Koralla, S., Ghosh, D. et al., "Adhesive Failure Prediction in Crash Simulations," SAE Technical Paper 2019-26-0297, 2019, https://doi.org/10.4271/2019-26-0297.
Additional Details
Publisher
Published
Jan 9, 2019
Product Code
2019-26-0297
Content Type
Technical Paper
Language
English