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Materials 2018, 11(2), 241; doi:10.3390/ma11020241

Modal Identification in an Automotive Multi-Component System Using HS 3D-DIC

1
Department of Mechanical and Mining Engineering, Campus Las Lagunillas, University of Jaén, 23071 Jaén, Spain
2
Department of Mechanical and Mining Engineering, Campus Científico Tecnológico de Linares, University of Jaén, 23700 Linares, Spain
*
Author to whom correspondence should be addressed.
Received: 20 December 2017 / Revised: 13 January 2018 / Accepted: 2 February 2018 / Published: 5 February 2018
(This article belongs to the Special Issue Advanced Materials for Transport Applications)
View Full-Text   |   Download PDF [8704 KB, uploaded 5 February 2018]   |  

Abstract

The modal characterization of automotive lighting systems becomes difficult using sensors due to the light weight of the elements which compose the component as well as the intricate access to allocate them. In experimental modal analysis, high speed 3D digital image correlation (HS 3D-DIC) is attracting the attention since it provides full-field contactless measurements of 3D displacements as main advantage over other techniques. Different methodologies have been published that perform modal identification, i.e., natural frequencies, damping ratios, and mode shapes using the full-field information. In this work, experimental modal analysis has been performed in a multi-component automotive lighting system using HS 3D-DIC. Base motion excitation was applied to simulate operating conditions. A recently validated methodology has been employed for modal identification using transmissibility functions, i.e., the transfer functions from base motion tests. Results make it possible to identify local and global behavior of the different elements of injected polymeric and metallic materials. View Full-Text
Keywords: HS 3D-DIC; automotive lighting system; multi-component; multi-material; experimental modal analysis; transmissibility functions HS 3D-DIC; automotive lighting system; multi-component; multi-material; experimental modal analysis; transmissibility functions
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Molina-Viedma, Á.J.; López-Alba, E.; Felipe-Sesé, L.; Díaz, F.A. Modal Identification in an Automotive Multi-Component System Using HS 3D-DIC. Materials 2018, 11, 241.

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