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Dynamic Finite Element Model Based on Timoshenko Beam Theory for Simulating High-Speed Nonlinear Helical Springs
Jianwei Zhao1, Zewen Gu2, Quan Yang1
1Institute of Engineering Technology, University of Science and Technology Beijing, Beijing 100083, China.
Nonlinear helical springs offer superior dynamic response reduction in high-speed applications. A new finite element (FE) model using Timoshenko beam theory accurately predicts nonlinear spring dynamics while reducing computational costs.
Area of Science:
- Mechanical Engineering
- Computational Mechanics
Background:
- Classical linear springs have limitations in high-speed dynamic scenarios.
- Existing finite element (FE) models for springs, particularly those using solid elements, are computationally intensive.
- Nonlinear helical springs demonstrate enhanced performance in diminishing dynamic responses.
Purpose of the Study:
- To develop an efficient FE spring model for high-speed dynamic simulations of nonlinear springs.
- To validate the proposed model using a beehive valve spring sample.
- To compare the computational resources and accuracy against traditional solid element FE models.
Main Methods:
- Development of a novel FE spring model based on Timoshenko beam theory.
- Simulation of a beehive valve spring under high-speed dynamic conditions (5600 and 8000 RPM).
- Comparison of simulation results with an FE model using solid elements and experimental engine head test data.
Main Results:
- The proposed FE model accurately predicts dynamic spring forces and coil clash phenomena.
- Rapid coil impact was observed to generate significant spike forces.
- The beam element-based FE model offers sufficient accuracy with substantially reduced computational resources compared to solid element models.
Conclusions:
- The Timoshenko beam theory-based FE model is a computationally efficient and accurate tool for simulating nonlinear springs.
- This approach is suitable for high-speed dynamic analysis, outperforming traditional solid element models.
- The findings are crucial for optimizing spring performance in demanding applications like automotive engines.
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