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NVH Full Vehicle Development - Virtual Simulation Process for Low Frequency Structure-Borne Regions

Journal Article
2020-01-1266
ISSN: 2641-9637, e-ISSN: 2641-9645
Published April 14, 2020 by SAE International in United States
NVH Full Vehicle Development - Virtual Simulation Process for Low Frequency Structure-Borne Regions
Sector:
Citation: J, P. and Sagade, V., "NVH Full Vehicle Development - Virtual Simulation Process for Low Frequency Structure-Borne Regions," SAE Int. J. Adv. & Curr. Prac. in Mobility 2(4):2297-2311, 2020, https://doi.org/10.4271/2020-01-1266.
Language: English

Abstract:

NVH (Noise, Vibration and Harshness) is a key attribute in Vehicle development. Refined vehicle enhances customer’s perception and also the brand image. Most of the OEMS have well-articulated NVH Development process which is a part of the Product development Cycle (PDC). The need for such process is essential to identify the inherent weakness or threats at earlier stage. And so the mitigation process need not warrant deviation or protection of resources, which would be a bottleneck at later stage. NVH is complex phenomena which deals with structure borne and airborne sources. So a NVH compliant vehicle is the product of resources which includes the skilled manpower, process and computational infrastructure. The stress for NVH front loading has gained traction in Global OEMS, to deliver “First Time Right“ NVH products. Full Vehicle NVH (VNVH) simulation is one of the complex virtual methods, done to understand and mitigate the inherent weakness of the systems and integration. Evaluations are based on load cases which are designed to simulate RWUP (Real World Usage Profiles). This paper explains systematic - “Sub System to System” approach along with the application of Virtual methods on different phases of the low frequency NVH development of vehicle to reduce structure-borne NVH and deliver best in class product. The system and its performance discussed in various section are representative in nature due to confidentiality. Therefore the focus would be on understanding the trend of system performance and studies to enhance it.