Engine NVH CAE Prediction capability improvement through correlation
2022-01-0743
03/29/2022
- Content
- NVH CAE is considered as one of the aspects of engine component design process. Following the best practices for CAE throughout the industry is the current trend which tend to miss the fact of improving it as per the continuously evolving component designs. Continuous improvement is necessary in existing methods and procedures to enhance CAE methodologies. Correlation of CAE models with measurement results increases stakeholders’ confidence and further allows to try out various combinations to reduce product development cycle time as well as cost. Engine components are connected with each other at periphery through bolted connection with required torque. This study focuses on improvement of standard automotive connection modelling method through inclusion of non-linearity at the engine components interfaces. NVH simulation predictions improves significantly through its incorporation in comparison with existing practices. The natural frequencies of the test parts in similar conditions were calculated using the computational model and correlated with experimental results. To validate suggested modeling method, the modal vibration tests and the computation were performed on the multiple engine sub-assemblies and the modal variations were found to be less than 5% under 3 kHz between the computational and the experimental results.
- Citation
- Singh, A., Kumar, V., and Garg, A., "Engine NVH CAE Prediction capability improvement through correlation," SAE Technical Paper 2022-01-0743, 2022, .