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

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.