Commercial Vehicle NVH Refinement through Test-CAE Development Approach

Britto, Vijay Antony John; Sivasubramonian, Sivasankaran; Loganathan, Ekambaram; Saisankaranarayana, Saisankaranarayana Kupplili; Hatti, Kalyankumar

doi:10.4271/2013-01-1006

Cited by 1 publication

(1 citation statement)

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“…Finite element based simulation results are compared with experimental measurements up to the limit of 800 Hz in order to increase the range of analysis capability on frequency response functions in [15]. A case study on low frequency NVH performance evaluation and refinement for heavy commercial vehicle truck using Hybrid Test-CAE methodology has been presented in [16]. A vehicle concept finite-element model is experimentally assessed for predicting structural vibration to 50 Hz and comparisons are made between the predicted and 63 measured frequencyresponse-functions (FRFs) of nominally identical vehicles and modes of the body-inwhite, the trimmed body, and the full vehicle in [17].…”

Section: Introductionmentioning

confidence: 99%

The Modelling and Correlation Procedure for Assessment of Vibration Performance of a Heavy Commercial Truck

Şendur¹,

Özcan²

2017

International Journal of Automotive Engineering and Technologies

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Application of mathematical modelling and numerical methods is a key element of optimum vehicle development process. Upfront CAE (Computer Aided Engineering) simulations of vehicle attributes are required to select designs that meet vehicle attribute targets and legal requirements. CAE is an attractive approach to predict and optimize the performance of the vehicle, and to make decisions in terms of attribute trade-offs before the vehicle prototypes are available. Even though there are many commercial software packages available, the task of correlation of the CAE model to vehicle test conditions is not a trivial task. In this paper, a systematic correlation methodology starting from subsystem level to full vehicle level is presented. Full vehicle correlation is demonstrated on Power train Idle NVH evaluation. Correlation results show that simulation model is highly correlated to the subsystem and vehicle level test data and, therefore it can be reliably used in the product development cycle.

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Section: Introductionmentioning

confidence: 99%