论文信息 - NVH analysis and improvement of a vehicle body structure using DOE method

NVH analysis and improvement of a vehicle body structure using DOE method

The improvement of a vehicle body structure under the constraint of noise, vibration and harshness (NVH) behavior is investigated by using design of experiments (DOE) method. First, car body geometry is modeled in CATIA and meshed in HYPERMESH software. Then, a modal analysis between 0–50 Hz is done by MSC NASTRAN. A frequency map of the body is extracted and compared with a reference map to identify shortcomings. By using factorial and response surface Methods (RSM), optimization of the NVH performance is accomplished. An algorithm is proposed to improve the car NVH behavior. At last, in order to verify the present algorithm, forced vibration is analyzed under real road inputs for the model before and after improvement.

[1] R. H. Myers,et al. Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[2] Fabian Duddeck,et al. Stochastic methods for optimization of crash and NVH problems , 2003 .

[3] Fabian Duddeck,et al. Multi-Criteria Evolutionary Optimization for Car Body Acoustics , 2005 .

[4] Uwe Schramm. Multi-disciplinary optimization for NVH and crashworthiness , 2001 .

[5] Jaroslaw Sobieszczanski-Sobieski,et al. Multidisciplinary design optimisation - some formal methods, framework requirements, and application to vehicle design , 2001 .

[6] Nielen Stander,et al. On the robustness of a simple domain reduction scheme for simulation‐based optimization , 2002 .

[7] Srinivas Kodiyalam. High performance computing for multidisciplinary design optimization and robustness of vehicle structures , 2003 .

[8] Ren-Jye Yang,et al. Optimization of car body under constraints of noise, vibration, and harshness (NVH), and crash , 2000 .