Siemens Digital Industries Software adds NVH system prediction capabilities to its Simcenter portfolio for early design and virtual prototyping.
Similar to a digital twin approach, the NVH prediction software allows engineers to accurately and easily predict the interior and exterior NVH performance of a vehicle before a physical prototype is available for any type of vehicle: hybrid, fully electric or internal combustion engine (ICE). This new Simcenter application helps engineers to front load full vehicle NVH analysis and detect potential component NVH performance issues earlier by using measured and simulated component models to build a virtual prototype assembly.
Simcenter, a part of Siemens’ integrated portfolio of software, Xcelerator, is a services and application dvelopment platform that uses a systems-engineering approach to enable the rapid creation of multiple vehicle variants. The system-level component models based on test and/or simulation data are created by NVH experts and published to a library. These take advantage of the latest technology, such as component-based transfer path analysis, which allows engineers to characterise the NVH sources independently from the final receiver, to ensure that they are validated, scalable, and reliable.
These validated components can then be rapidly assembled by non-NVH experts to represent a new variant and performance assessment can begin, reducing set-up times to a matter of minutes. This systems-based approach allows rapid reuse of available data and expertise by a much wider community of users within an organisation. By enabling non experts to conduct performance prediction studies, it facilitates NVH performance assessments to be carried out at all stages of vehicle development.
“Test and simulation teams need to work closely to ensure quality in the face of a shortened development cycle and reduced budgets for multiple physical prototypes,” said Patrick Corbeels, product manager, Siemens Digital Industries Software. “Our new NVH prediction tools democratise access to this technology by allowing expert created libraries to be used efficiently by anyone that needs them, saving time and reducing bottlenecks in the test and simulation process.”
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