Assessment of Lightweight Automotive Glass Solutions on Interior Noise Levels & amp; Sound Quality

2017 ◽  
Author(s):  
Todd Tousignant ◽  
Kiran Govindswamy ◽  
Vikram Bhatia ◽  
Shivani Polasani ◽  
W Keith Fisher
Keyword(s):  
Sound Quality ◽  
Interior Noise ◽  
Noise Levels

scholarly journals Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis

2021 ◽  
Vol 11 (10) ◽  
pp. 4385
Author(s):  
Kun Qian ◽  
Zhichao Hou ◽  
Jie Liang ◽  
Ruixue Liu ◽  
Dengke Sun
Keyword(s):  
Electric Vehicles ◽  
Sound Quality ◽  
Interior Noise ◽  
Experimental Comparison ◽  
Noise Component ◽  
Acoustic Environment ◽  
Evaluation Indexes ◽  
Transfer Path ◽  
New Ideas ◽  
Path Synthesis

The interior sound quality (SQ) of pure electric vehicles (PEVs) has become an important consideration for users purchasing vehicles. At present, it is insufficient to take the sound pressure level as the interior acoustics design index of PEVs. Transfer path analysis (TPA) and transfer path synthesis (TPS) that take the SQ of interior noise as the improvement target remains in the preliminary exploration stage. In this paper, objective psychoacoustic parameters of SQ were taken as evaluation indexes of interior PEV noise. A virtual interior SQ synthesis model was designed on the basis of TPA and TPS, which combines experimentation and simulation. The SQ synthesis model demonstrates each noise component contribution in a PEV by new SQ separation technology. First, the interior noise transfer path and noise source of the PEV were determined in a synthesis analysis method of the interior PEV noise. Second, on the basis of the composition mechanism of interior noise and the basic principle of TPA, the excitation signal and transfer function of each interior noise path in the PEV were tested. On the basis of TPS, the interior SQ synthesis model of PEV was then established. Finally, the accuracy of the prediction model was verified in simulation and experimental comparison studies on the psychoacoustic objective parameters of SQ. The SQ objective parameter value of each transfer path was quantified by using contribution analysis. The results are expected to improve the comfort of the interior acoustic environment and enhance the competitiveness of vehicle products. They also provide an effective reference and new ideas for the development of interior SQ in PEVs.

Effect of an Isolated Shell on Interior Noise levels in a Turboprop Aircraft

1989 ◽  
Author(s):  
Ramasamy Navaneethan ◽  
Robert L. Howes
Keyword(s):  
Interior Noise ◽  
Noise Levels

Design Optimization of Polyurethane Cored Three-Layered Carpeting

1994 ◽  
Vol 208 (3) ◽  
pp. 175-180 ◽  
Author(s):  
M K Ling
Keyword(s):  
Design Optimization ◽  
Control Systems ◽  
Single Unit ◽  
Noise Control ◽  
Interior Noise ◽  
Performance Characteristics ◽  
Design Model ◽  
Noise Levels

Multi-layered noise control systems are widely used in production vehicles to reduce interior noise levels. Traditionally, these systems had fibrous felt cores but increasingly moulded polyurethane (PUR) foam-backed carpets are now used. They provide the manufacturer with a single unit moulded car carpet, enabling easy and cheaper installation. However, little information has been published on their performance characteristics or their design optimization. This paper reports on work that examines the optimization of composite performance of these composites. A design model is developed which allows performance to be assessed before expensive road trials are carried out.

Optimum order spectrum profiles for improvement of sound quality of car interior noise

2013 ◽  
Vol 61 (6) ◽  
pp. 578-589 ◽  
Author(s):  
Sung-Hwan Shin ◽  
Takeo Hashimoto
Keyword(s):  
Sound Quality ◽  
Interior Noise ◽  
Order Spectrum ◽  
Optimum Order

Sound Quality Evaluation of the Interior Noise of Pure Electric Vehicle Based on Neural Network Model

2017 ◽  
Vol 64 (12) ◽  
pp. 9442-9450 ◽  
Author(s):  
Conggan Ma ◽  
Chaoyi Chen ◽  
Qinghe Liu ◽  
Haibo Gao ◽  
Qing Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Electric Vehicle ◽  
Network Model ◽  
Neural Network Model ◽  
Quality Evaluation ◽  
Sound Quality ◽  
Interior Noise
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