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Validating FSI Simulations in LS-DYNA 971 R7

  • Conference paper
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Experimental and Applied Mechanics, Volume 6

Abstract

The latest release of LS-DYNA includes a multi-physics solver that combines computational fluid dynamics and structural solvers. This capability is a new computational design tool for the automotive industry. One of the simplest ways to reduce weight and increase fuel efficiency is to trim unnecessary weight from the body panels which comprise the vehicle. However, body panels that are made too thin are susceptible to a phenomenon known as oil-canning under loads such as those encountered from typical automotive air dryers. Oil-canning is a complex phenomenon that can result in permanent deformation or the panel can snap back. Oil-canning is to be avoided, even if temporary, for customer satisfaction reasons. An experimental program is presented where automotive roof panels are placed in a custom test rig and loaded with a high velocity air jet to replicate the oil-canning phenomenon. Flow characterization is performed using an array of piezo-electric pressure sensors. Panel deformation is measured using three-dimensional digital image correlation. Experimental data will be used to determine the validity of the multi-physics solver as an engineering 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 architecture department at Ohio State who machined the custom forms to clamp the roof panel.

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Correspondence to Kevin A. Gardner .

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© 2015 The Society for Experimental Mechanics, Inc.

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Gardner, K.A., Seidt, J.D., Gilat, A. (2015). Validating FSI Simulations in LS-DYNA 971 R7. In: Sottos, N., Rowlands, R., Dannemann, K. (eds) Experimental and Applied Mechanics, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-06989-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-06989-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06988-3

  • Online ISBN: 978-3-319-06989-0

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