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Evaluation of Material Damping Ratio of 2-Wheeler Electronic Ignition Switch Module to Enhance its Finite Element Model Physics for Harmonic Response Minda Corporation Limited
- Format:
- Book
- Conference/Event
- Author/Creator:
- Shah, Viren, author.
- Conference Name:
- Noise & Vibration Conference & Exhibition (2025-05-12 : Grand Rapids, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- The proposed work performs the detailed investigation of material damping ratio for different Electronic Ignition Switch Module (EISM) used in two-wheeler automobiles. A Finite Element Method (FEM) based simulation model has been developed. The simulation is performed by matching the failure areas of critical components in the assembly with physical sinusoidal vibration based shaker table test. The results (particularly breakage) have been reproduced by utilizing different damping ratios for the assembly. The damping ratio parameter is further utilized to perform FEM based harmonic response analysis for different EISM and evaluate critical structural breakage zones. The breakage zones predicted by simulation are found to be aligned with breakage zones depicted by shaker table sinusoidal test results. The simulation outcomes are validated, specifically considering the damping ratio parameter. The FEM based harmonic response analysis has been performed for a particular acceleration excitation between 50 Hz-1000 Hz frequency range. The FEM model identified the critical areas of different EISM designs by analyzing the frequency response function. The results of the simulation model predicted that applied load has been effectively sustained by the design. The same process set can be effectively utilized for analyzing other EISM models too. Conclusively, the FEM based analysis revealed that the algorithm set for capturing the sinusoidal vibrational characteristics of EISM has proved its efficacy and deemed efficient than the peer algorithms
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-01-0109
- Access Restriction:
- Restricted for use by site license
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