Design Optimization Analysis of Body Attachment for NVH Performance Improvements

Kim, Ki-Chang; Choi, In-Ho

doi:10.4271/2003-01-1604

Cited by 13 publications

(2 citation statements)

References 2 publications

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“…Additionally, lightweight EVs require less energy to accelerate and maintain speed, which can help to alleviate range anxiety [2]. Automotive engineers have the challenge of reducing vehicle weight to meet new vehicle emission standards [3,4]. Lighter vehicles with better performance and fuel efficiencies are especially vulnerable to higher in-cabin structure and airborne noise levels.…”

Section: Introductionmentioning

confidence: 99%

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

Mostafavi Yazdi,

Pack,

Rouhollahi

et al. 2023

Energies

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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.

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Section: Introductionmentioning

confidence: 99%

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

Mostafavi Yazdi,

Pack,

Rouhollahi

et al. 2023

Energies

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“…The effect of vehicle static and dynamic stiffness on the correlation of ride, handling and NVH performance using experiments on the actual vehicles has been addressed in [10]. The effect of the body attachment stiffness on the idle noise and road noise for NVH performance improvement has been studied in [11]. The paper presented the correlation between experimental test and finite element based simulations as well as important design factors to improve idle noise and road.…”

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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Vibration Control of Overall Body Structure

2018

Noise and Vibration Control in Automotive Bodies

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Design Optimization Analysis of Body Attachment for NVH Performance Improvements

Cited by 13 publications

References 2 publications

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

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

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

Vibration Control of Overall Body Structure

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