Experimental Observations in Tire Cavity Resonance and Interactions with Periodic Noise Components

2021 ◽  
Vol 263 (1) ◽  
pp. 5684-5695
Author(s):  
Kiran Patil ◽  
Jordan Schimmoeller ◽  
James Jagodinski ◽  
Sterling McBride

Tire cavity resonance is one of the major sources of tire-related in-cabin noise and vibration. It has gained more attention in recent years with the growth of the electric vehicle market. This is due to the absence of masking noise from the internal combustion engine and powertrain. Thus, the mitigation of this issue has become a critical task for tire and vehicle manufacturers. The excited cavity resonant frequency in an unloaded condition is typically between 170 - 220 Hz. However, multiple studies have shown that loading the tire will result in two dominant resonances transmitted into the cavity. Their corresponding mode shapes are typically described in terms of the direction of their characteristic acoustic pressure variation i.e., fore-aft cavity mode and vertical cavity mode. As the tire's rotational speed increases, in-cabin measurements show that the tire cavity resonant frequencies separate from each other. Further, interactions with the periodic component of tire noise at certain speeds are also observed. These periodic components can be attributed to tire non-uniformities and tread pattern related excitation. This interaction is perceived as tonal noise inside the vehicle cabin at discrete speeds. This work presents experimental results summarizing these findings.

2008 ◽  
Vol 40 (14-15) ◽  
pp. 1205-1209
Author(s):  
Sven Mahnkopf ◽  
Duane A. Louderback ◽  
Dhiraj Kumar ◽  
Peter S. Guilfoyle

1999 ◽  
Vol 14 (1) ◽  
pp. 99-102 ◽  
Author(s):  
N N Ledentsov ◽  
D Bimberg ◽  
V M Ustinov ◽  
M V Maximov ◽  
Zh I Alferov ◽  
...  

2020 ◽  
Vol 329 ◽  
pp. 01016
Author(s):  
Natalia Reshetko ◽  
Sergey Vakulenko ◽  
Diana Kakhrimanova ◽  
Vladimir Belozerov ◽  
Jozef Gašparík

Today, an unusual mode of transport, namely an electric vehicle, increasingly be seen on highways and traffic jams. The demand for such a trendy wild is constantly increasing. In addition, it is not surprising, because there are plenty of reasons for it. Due to the economic crisis, the increase in the price of gasoline and oil, many began to wonder whether to buy the usual car for us and further save and purchase an environmentally friendly product. By 2020, more than 120 different models of electric vehicles will be on the market. These are great machines. The internal combustion engine against their background will look old-fashioned. The purpose of this work is to analyze the current activity of the company and offer to develop a real-world marketing model based on the requirements of the modern market. Faraday Future, an electric machine company with progressive growth rates, chosen as the subject of the study. The article is relevant and useful to all interested electric vehicles, entrepreneurs and other interested persons.


2019 ◽  
Author(s):  
Jaiganesh Subbian ◽  
Sankarganesh Padmanaban ◽  
Amarnath Skp

1993 ◽  
Vol 5 (6) ◽  
pp. 634-636 ◽  
Author(s):  
P.A. Evaldsson ◽  
G.W. Taylor ◽  
P.W. Cooke ◽  
S.K. Sargood ◽  
P.A. Kiely ◽  
...  

2007 ◽  
Vol 347 ◽  
pp. 473-478
Author(s):  
Jerome Antoni ◽  
David Hanson ◽  
Bob Randall

An underlying assumption of many operational modal analysis techniques is that the excitation is evenly distributed over the system, i.e. the inputs are spatially white, and is constant with frequency, i.e. frequentially white. This paper investigates the use of cyclostationarity, in combination with the Frequency Domain Subspace identification technique, to relax these constraints. Such a technique is suitable for application on systems which are excited by at least one cyclostationary input with a unique cyclic frequency, such as an internal combustion engine in a car or locomotive. The cyclostationary properties of this input are employed to reduce a multiple-inputmultiple- output system to a single-input-multiple-output system by extracting the component of each response measurement which is attributable to the cyclostationary input alone. The system modal properties; the resonances, damping and mode shapes, are then identified using the frequency domain subspace algorithm. The effectiveness of the technique is demonstrated through experiments on a laboratory test rig and a passenger train, and compared with results obtained using the knowledge of the inputs.


2013 ◽  
Vol 40 (5) ◽  
pp. 0502001
Author(s):  
张建伟 Zhang Jianwei ◽  
宁永强 Ning Yongqiang ◽  
张星 Zhang Xing ◽  
曾玉刚 Zeng Yugang ◽  
张建 Zhang Jian ◽  
...  

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