A Modeling Framework to Develop Materials with Improved Noise and Vibration Performance for Electric Vehicles

被引:1
作者
Mostafavi Yazdi, Seyed Jamaleddin [1 ]
Pack, Seongchan [2 ]
Rouhollahi, Foroogh [3 ]
Baqersad, Javad [1 ]
机构
[1] Kettering Univ, Dept Mech Engn, 1700 Univ Ave, Flint, MI 48504 USA
[2] Global Prod Dev Global Tech Ctr, Gen Motors, Warren, MI 48340 USA
[3] Kettering Univ, Dept Chem Engn, 1700 Univ Ave, Flint, MI 48504 USA
关键词
vibration; damping; NVH; lightweight; electric vehicles; finite element analysis; MODAL-ANALYSIS; MICROSTRUCTURE; COMPOSITES; PREDICTION;
D O I
10.3390/en16093880
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The automotive and aerospace industries increasingly use lightweight materials to improve performance while reducing fuel consumption. Lightweight materials are frequently used in electric vehicles (EVs). However, using these materials can increase airborne and structure-borne noise. Furthermore, EV noise occurs at high frequencies, and conventional materials have small damping. Thus, there is an increasing need for procedures that help design new materials and coatings to reduce the transferred and radiated noise at desired frequencies. This study pioneered new techniques for microstructure modeling of coated and uncoated materials with improved noise, vibration, and harshness (NVH) performance. This work uses the microstructure of materials to study their vibration-damping capacity. Images from an environmental scanning electron microscope (ESEM) show the microstructure of a sample polymer and its coating. Tensile tests and experimental modal analysis were used to obtain the material properties of the polymer for microstructure modeling. The current work investigates how different microstructure parameters, such as fiberglass volume fraction and orientation, can change the vibration performance of materials. The damping ratio in the study was found to be affected by changes in both the direction and volume ratio of fiberglass. Furthermore, the effects of the coating are investigated in this work. Through modal analysis, it was observed that increasing the thickness of aluminum and aluminum bronze coatings caused a rightward shift in resonance frequency. Coatings with a thickness of 2 mm were found to perform better than those with lower thicknesses. Furthermore, the aluminum coating resulted in a greater shift in frequency than the aluminum bronze coating. Additionally, the coating with a higher damping ratio (i.e., aluminum bronze) significantly reduced the amplitude of surface velocity due to excitation, particularly at higher frequencies. This study provides engineers with an understanding of the effects of layer coating on the NVH performance of components and a modeling approach that can be used to design vehicles with enhanced noise and vibration performance.
引用
收藏
页数:17
相关论文
共 54 条
[1]   Micromechanical analysis of elastic modulus of carbon nanotube-aluminum nanocomposites with random microstructures [J].
Ahmadi, M. ;
Ansari, R. ;
Hassanzadeh-Aghdam, M. K. .
JOURNAL OF ALLOYS AND COMPOUNDS, 2019, 779 :433-439
[2]   Finite element creep prediction of polymeric voided composites with 3D statistical-based equivalent microstructure reconstruction [J].
Al Jahwari, Farooq ;
Naguib, Hani E. .
COMPOSITES PART B-ENGINEERING, 2016, 99 :416-424
[3]   Experimental and numerical investigation of the effect of microstructural changes on the vibrational characteristics of ck35 steel [J].
Amirian, Amirali ;
Torshizi, Seyed Ebrahim Moussavi ;
Dibajian, Seyed Hossein .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2022, 236 (03) :1363-1376
[4]  
[Anonymous], 1992, D638M10 ASTM, V10, P172
[5]   Evaluation of Mechanical and Vibration Characteristics of Laminated Damping Aluminum Panel for Automobile Components [J].
Bae, Sung-Youl ;
Bae, Ki-Man ;
Kim, Yun-Hae .
COMPOSITES RESEARCH, 2019, 32 (02) :113-119
[6]   Friction Stir Spot Vibration Welding: Improving the Microstructure and Mechanical Properties of Al5083 Joint [J].
Bagheri, Behrouz ;
Rizi, Ali Akbar Mahdian ;
Abbasi, Mahmoud ;
Givi, Mohammad .
METALLOGRAPHY MICROSTRUCTURE AND ANALYSIS, 2019, 8 (05) :713-725
[7]   Photogrammetry and optical methods in structural dynamics - A review [J].
Baqersad, Javad ;
Poozesh, Peyman ;
Niezrecki, Christopher ;
Avitabile, Peter .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 86 :17-34
[8]   Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques [J].
Bostanabad, Ramin ;
Zhang, Yichi ;
Li, Xiaolin ;
Kearney, Tucker ;
Brinson, L. Catherine ;
Apley, Daniel W. ;
Liu, Wing Kam ;
Chen, Wei .
PROGRESS IN MATERIALS SCIENCE, 2018, 95 :1-41
[9]   A system for the dynamic characterization of microstructures [J].
Burdess, JS ;
Harris, BJ ;
Wood, D ;
Pitcher, RJ ;
Glennie, D .
JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, 1997, 6 (04) :322-328
[10]   Addressing the range anxiety of battery electric vehicles with charging en route [J].
Chakraborty, Prabuddha ;
Parker, Robert ;
Hoque, Tamzidul ;
Cruz, Jonathan ;
Du, Lili ;
Wang, Shuo ;
Bhunia, Swarup .
SCIENTIFIC REPORTS, 2022, 12 (01)