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

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...

Full description

Bibliographic Details
Main Authors: Seyed Jamaleddin Mostafavi Yazdi, Seongchan Pack, Foroogh Rouhollahi, Javad Baqersad
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/9/3880
_version_ 1797602699633491968
author Seyed Jamaleddin Mostafavi Yazdi
Seongchan Pack
Foroogh Rouhollahi
Javad Baqersad
author_facet Seyed Jamaleddin Mostafavi Yazdi
Seongchan Pack
Foroogh Rouhollahi
Javad Baqersad
author_sort Seyed Jamaleddin Mostafavi Yazdi
collection DOAJ
description 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.
first_indexed 2024-03-11T04:19:22Z
format Article
id doaj.art-9a2e1a51d9a341cf9f2eccbc99b74afc
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-03-11T04:19:22Z
publishDate 2023-05-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-9a2e1a51d9a341cf9f2eccbc99b74afc2023-11-17T22:52:59ZengMDPI AGEnergies1996-10732023-05-01169388010.3390/en16093880A Modeling Framework to Develop Materials with Improved Noise and Vibration Performance for Electric VehiclesSeyed Jamaleddin Mostafavi Yazdi0Seongchan Pack1Foroogh Rouhollahi2Javad Baqersad3Department of Mechanical Engineering, Kettering University, 1700 University Ave, Flint, MI 48504, USAGlobal Product Development at Global Technical Center, General Motors, Warren, MI 48340, USADepartment of Chemical Engineering, Kettering University, 1700 University Ave, Flint, MI 48504, USADepartment of Mechanical Engineering, Kettering University, 1700 University Ave, Flint, MI 48504, USAThe 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.https://www.mdpi.com/1996-1073/16/9/3880vibrationdampingNVHlightweightelectric vehiclesfinite element analysis
spellingShingle Seyed Jamaleddin Mostafavi Yazdi
Seongchan Pack
Foroogh Rouhollahi
Javad Baqersad
A Modeling Framework to Develop Materials with Improved Noise and Vibration Performance for Electric Vehicles
Energies
vibration
damping
NVH
lightweight
electric vehicles
finite element analysis
title A Modeling Framework to Develop Materials with Improved Noise and Vibration Performance for Electric Vehicles
title_full A Modeling Framework to Develop Materials with Improved Noise and Vibration Performance for Electric Vehicles
title_fullStr A Modeling Framework to Develop Materials with Improved Noise and Vibration Performance for Electric Vehicles
title_full_unstemmed A Modeling Framework to Develop Materials with Improved Noise and Vibration Performance for Electric Vehicles
title_short A Modeling Framework to Develop Materials with Improved Noise and Vibration Performance for Electric Vehicles
title_sort modeling framework to develop materials with improved noise and vibration performance for electric vehicles
topic vibration
damping
NVH
lightweight
electric vehicles
finite element analysis
url https://www.mdpi.com/1996-1073/16/9/3880
work_keys_str_mv AT seyedjamaleddinmostafaviyazdi amodelingframeworktodevelopmaterialswithimprovednoiseandvibrationperformanceforelectricvehicles
AT seongchanpack amodelingframeworktodevelopmaterialswithimprovednoiseandvibrationperformanceforelectricvehicles
AT forooghrouhollahi amodelingframeworktodevelopmaterialswithimprovednoiseandvibrationperformanceforelectricvehicles
AT javadbaqersad amodelingframeworktodevelopmaterialswithimprovednoiseandvibrationperformanceforelectricvehicles
AT seyedjamaleddinmostafaviyazdi modelingframeworktodevelopmaterialswithimprovednoiseandvibrationperformanceforelectricvehicles
AT seongchanpack modelingframeworktodevelopmaterialswithimprovednoiseandvibrationperformanceforelectricvehicles
AT forooghrouhollahi modelingframeworktodevelopmaterialswithimprovednoiseandvibrationperformanceforelectricvehicles
AT javadbaqersad modelingframeworktodevelopmaterialswithimprovednoiseandvibrationperformanceforelectricvehicles