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

Ángel Jesús Molina-Viedma1, Elías López-Alba2, Luis Felipe-Sesé3

  • 1Department of Mechanical and Mining Engineering, Campus Las Lagunillas, University of Jaén, 23071 Jaén, Spain. ajmolina@ujaen.es.

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|February 7, 2018
PubMed
Summary

Modal analysis of automotive lighting systems is challenging. High-speed 3D digital image correlation (HS 3D-DIC) enables contactless measurement for identifying natural frequencies, damping ratios, and mode shapes, revealing local and global behaviors.

Keywords:
HS 3D-DICautomotive lighting systemexperimental modal analysismulti-componentmulti-materialtransmissibility functions

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Area of Science:

  • Mechanical Engineering
  • Experimental Mechanics
  • Automotive Engineering

Background:

  • Modal characterization of lightweight automotive lighting systems is difficult with traditional sensors due to access and component weight.
  • High-speed 3D digital image correlation (HS 3D-DIC) offers a contactless, full-field measurement solution for 3D displacements, overcoming limitations of other techniques.

Purpose of the Study:

  • To perform experimental modal analysis on a multi-component automotive lighting system.
  • To utilize HS 3D-DIC for comprehensive modal identification.
  • To simulate operating conditions using base motion excitation.

Main Methods:

  • Experimental modal analysis using HS 3D-DIC.
  • Application of base motion excitation to simulate operational conditions.
  • Modal identification employing transmissibility functions derived from base motion tests.

Main Results:

  • Successful identification of natural frequencies, damping ratios, and mode shapes for the automotive lighting system.
  • Distinction between local and global dynamic behaviors of the system's components.
  • Characterization of both injected polymeric and metallic material elements.

Conclusions:

  • HS 3D-DIC is an effective technique for modal analysis of complex automotive lighting systems.
  • The employed methodology accurately identifies modal parameters and distinguishes component behaviors.
  • This approach provides valuable insights into the dynamic performance of automotive lighting systems.