Broadband Noise Reduction Optimization of Commercial Vehicle Cab Acoustic Packages Using Hybrid FE-SEA Modeling and Mixture Design
Source abstract
Abstract
A common engineering challenge is that a single sound-absorbing material cannot adequately cover the full frequency range in broadband noise control of commercial vehicle cabs; with the aim of addressing this challenge, this study employs a synergistic noise reduction method integrating hybrid finite element–statistical energy analysis (FE–SEA) with foam mixture design. A hybrid FE–SEA cab model is first established, and panel contribution analysis is used to identify key radiating areas such as the floor and rear panel, as well as their corresponding energy-concentrated frequency bands. High- and low-flow-resistance polyurethane foams and melamine foam are selected as base materials. A simplex-centroid mixture design is adopted to construct a Scheffé regression model using the average noise reduction contribution in frequency bands as the response, and Derringer–Suich multi-response optimization is applied to obtain the optimal proportions. Full-vehicle simulation results show that the optimized formulation achieves noise reduction contributions of 13.87, 16.42, and 10.84 dB in the 200–500 Hz, 800–1600 Hz, and 2000–3150 Hz bands, respectively, without evident weak-band performance, reducing the overall SPL to 68.25 dB(A). The proposed method establishes a bidirectional linkage between vehicle acoustic response and material formulation, providing a reproducible framework for the forward design and broadband acoustic optimization of commercial vehicle acoustic packages.
Source: crossref · Quality: baseline
Affiliations
Hubei Key Laboratory of Modern Manufacturing Quality Engineering, School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
Dongfeng Liuzhou Motor Co., Ltd., Liuzhou 545005, China
State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
School of Traffic Management Engineering, Guangxi Police College, Nanning 530023, China
Funding
Guangxi Science and Technology Major Program
References (30)
Show source-provided references
1. A Review of Experimental Techniques for NVH Analysis on a Commercial Vehicle10.1016/j.egypro.2015.11.861 ↗
2. Chen, S., Wang, D., Song, J., Tan, G., and Lu, B. (2011, January 13). Interior Noise Prediction and Analysis of Heavy Commercial Vehicle Cab. Proceedings of the Commercial Vehicle Engineering Congress, Chicago, IL, USA.10.4271/2011-01-2241 ↗
3. Structure-borne Noise Reduction in a Truck Cab Interior Using Numerical Techniques10.1016/S0003-682X(99)00018-3 ↗
4. Seybert, A.F., Hu, T., Herrin, D.W., and Ballinger, R.S. (1997, January 20). Interior Noise Prediction Process for Heavy Equipment Cabs. Proceedings of the SAE Noise and Vibration Conference and Exposition, Traverse City, MI, USA.10.4271/971955 ↗
5. A Review of Mid-Frequency Vibro-Acoustic Modelling for High-Speed Train Extruded Aluminium Panels as Well as the Most Recent Developments in Hybrid Modelling Techniques10.1007/s40534-015-0080-4 ↗
6. Dong, B., Green, M., Voutyras, M., Bremner, P., and Kasper, P. (1995, January 15). Road Noise Modelling Using Statistical Energy Analysis Method. Proceedings of the SAE Noise and Vibration Conference and Exposition, Traverse City, MI, USA.10.4271/951327 ↗
7. Charpentier, A., Sreedhar, P., and Fukui, K. (2007, January 15–17). Using the Hybrid FE-SEA Method to Predict Structure-borne Noise Transmission in a Trimmed Automotive Vehicle. Proceedings of the SAE 2007 Noise and Vibration Conference and Exhibition, St. Charles, IL, USA.10.4271/2007-01-2181 ↗
8. Design and optimization of acoustic packages using RSM coupled with range analysis
9. Polyurethane Foams for Sound and Vibration Dampening in Automotive Applications10.1177/0021955X8802400306 ↗
10. McCullough, D., and Gansen, P. (1990). Viscoelastic MDI-Based Polyurethane Foam for Sound and Vibration Dampening in Automobiles, SAE International.10.4271/900093 ↗
11. Investigation and development of a numerical tool for the prediction and influence of natural fibre poroelastic trim behaviour on automotive cabin noise10.1080/23311916.2018.1548992 ↗
12. Lin, T.-H., Deng, J., and Chen, Y.-C. (2022). Using Response Surface for Searching the Nearly Optimal Parameters Combination of the Foam Concrete Muffler. Materials, 15.10.3390/ma15228128 ↗
13. Experiments with mixtures10.1111/j.2517-6161.1958.tb00299.x ↗
14. Cornell, J.A. (2002). Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data, Wiley.10.1002/9781118204221 ↗
15. Prediction of the acoustic effect of an interior trim porous material inside a rigid-walled car air cavity model10.1016/j.apacoust.2020.107325 ↗
16. Advancements and trends in vehicle sound package for noise control: A comprehensive review
17. Vibro-acoustic analysis of complex systems10.1016/j.jsv.2005.07.010 ↗
18. Numerical and experimental validation of a hybrid finite element-statistical energy analysis method10.1121/1.2739420 ↗
19. Interior noise prediction of the automobile based on hybrid FE-SEA method10.1155/2011/327170 ↗
20. A review of hybrid FE-SEA joint modeling methods10.1088/1742-6596/1952/4/042109 ↗
21. Su, J.T., and Deng, Z.X. (2021). Study on FE-SEA modeling and acoustic performance of heavy duty commercial vehicle based on experimental statistical energy parameters. Appl. Sci., 11.10.3390/app112210837 ↗
22. FE-SEA Hybrid Modeling and Analysis Method for Vehicle Interior Noise
23. Theory of Dynamic Permeability and Tortuosity in Fluid-Saturated Porous Media10.1017/S0022112087000727 ↗
24. Dynamic tortuosity and bulk modulus in air-saturated porous media10.1063/1.349482 ↗
25. Dynamic compressibility of air in porous structures at audible frequencies10.1121/1.419690 ↗
26. Allard, J.F., and Atalla, N. (2009). Propagation of Sound in Porous Media: Modelling Sound Absorbing Materials, Wiley.10.1002/9780470747339 ↗
27. The simplex-centroid design for experiments with mixtures10.1111/j.2517-6161.1963.tb00506.x ↗
28. Experiments with mixtures: A review10.1080/00401706.1973.10489071 ↗
29. Extreme vertices designs for linear mixture models10.1080/00401706.1974.10489209 ↗
30. Techniques for the analysis of mixture data10.1080/00401706.1973.10489078 ↗