Abstract
The latest version of LS-DYNA includes multi-physics capabilities that allow the computational fluid dynamics and structural solvers to be combined. This presents a powerful tool for automotive engineers that can be used in designing body panels. Body panels are one of the easiest locations to eliminate weight from, however, if panels are made too thin they become susceptible to a phenomenon known as oil-canning. Oil-canning can occur under loading conditions such as those found in automotive air dryers. Oil-canning is a complex phenomenon that can result in either temporary or permanent deformation of a panel. Fluid–structure interaction simulations provide a possible design tool for predicting oil canning events, however the numerical results must be validated. An experimental program is presented where automotive roof panels are placed into a custom test rig and loaded with a high velocity air jet. Flow characterization is performed by building a pressure map for various conditions with piezo-resistive pressure transducers. The flow data is used in an LS-DYNA simulation of the experiment and the results are compared to determine the validity of the numerical simulation as a design tool.
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Acknowledgements
The authors would like to thank Duane Detwiler, Andy Fields, Allen Sheldon, Thomas Ramsay, and Yong-Bae Cho of Honda R&D Americas, Inc., and Ed Helwig and Emily Nutwell of LSTC for their support of this project. The authors would also like to thank Michael Tomaso of the Ohio State School of Architecture who machined the custom forms to clamp the roof panels.
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© 2016 The Society for Experimental Mechanics, Inc.
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Gardner, K.A., Seidt, J.D., Gilat, A. (2016). Validating FSI Simulations in LS-DYNA 971 R7. In: Sciammarella, C., Considine, J., Gloeckner, P. (eds) Experimental and Applied Mechanics, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-22449-7_15
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DOI: https://doi.org/10.1007/978-3-319-22449-7_15
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22448-0
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