Powertrain NVH CAE Process Enhancement Using Non-linear Interaction Modelling

2022-01-0615

03/29/2022

Features
Event
WCX SAE World Congress Experience
Authors Abstract
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. The existing global CAE modeling practices are evolved to represent the bolt connections at the designed location. However, these practices miss the stiffness offered by the interface zone between bolts.
Current study is focused on improvement of existing automotive connection modelling method through inclusion of non-linearity at the engine components interfaces. NVH simulation predictions have improved significantly through its incorporation in comparison with existing practices.
The natural frequencies of the test parts in similar conditions are calculated using the computational model and correlated with experimental results. Validation of the proposed modeling method was carried out in two steps. First, modal vibrations tests were performed. Secondly, representative computations were performed and compared with measurements.
Meta TagsDetails
DOI
https://doi.org/10.4271/2022-01-0615
Pages
6
Citation
Singh, A., Kumar, V., and Garg, A., "Powertrain NVH CAE Process Enhancement Using Non-linear Interaction Modelling," SAE Technical Paper 2022-01-0615, 2022, https://doi.org/10.4271/2022-01-0615.
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0615
Content Type
Technical Paper
Language
English