Modeling Snap-Fit Stiffness for Improved BSR Predictions in Automotive Design Altair Engineering India Pvt. Limited

Format:

Book

Conference/Event

Author/Creator:

Rao, Sohan, author.

Contributor:

Elangovan, Pranesh

Reddy, Hari

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:

Squeak and Rattle (S&R) issues present significant challenges in the automotive industry, negatively affecting the perceived quality of vehicles. Early identification of these issues through rigorous testing protocolssuch as auditory assessments and dynamic simulationsenables the development of more robust systems while optimizing resource use. Finite Element Method (FEM) simulations are crucial for identifying S&R issues during the design phase, allowing engineers to address potential problems before the creation of physical prototypes. By developing high-fidelity virtual models and accurately simulating flexible connections, these simulations effectively capture rattle effects, enhancing prediction reliability. Traditional snap stiffness calculations typically employ a cantilever-based formulation, which is suitable for simple snap-fit designs but insufficient for more complex geometries that require enhanced stiffness. To address this limitation, the proposed methodology utilizes non-linear simulations for precise snap stiffness determination. A snap-fit was isolated from CAD and meshed using solid elements, with appropriate contact properties established for non-linear static analysis. The pull-out force was captured and validated against previous work to ensure accurate physics representation. Snap stiffness was calculated based on head deflection, revealing noticeable differences compared to standard calculations. This proposed methodology represents a step toward standardizing snap stiffness calculations, ensuring the repeatability and reliability of results generated from S&R simulations

Notes:

Vendor supplied data

Publisher Number:

2025-01-0089

Access Restriction:

Restricted for use by site license