Effect of Rubber Hardness and Tire Size on Tire-Pavement Interaction Noise

2019 ◽  
Vol 47 (4) ◽  
pp. 258-279 ◽  
Author(s):  
Tan Li ◽  
Ricardo Burdisso ◽  
Corina Sandu
Keyword(s):  
Asphalt Pavement ◽  
Sound Intensity ◽  
Leading Edge ◽  
Noise Spectrum ◽  
Vehicle Speed ◽  
Passenger Cars ◽  
Tire Noise ◽  
Order Tracking ◽  
Pattern Noise ◽  
Noise Data

ABSTRACT Tire-pavement interaction noise (TPIN) is a dominant noise source for passenger cars and trucks above 25 mph (40 km/h) and above 43 mph (70 km/h), respectively. TPIN is generated due to excitations of the tread pattern and pavement texture. For the same tread pattern and pavement texture at the same speed, TPIN might also be influenced by the tire structure (e.g., the tread rubber hardness and tire size). In the present study, 42 tires with different rubber hardnesses and/or tire sizes were tested at five different speeds (45–65 mph, i.e., 72–105 km/h) on a nonporous asphalt pavement (a section of U.S. Route 460, both eastbound and westbound). An on-board sound intensity system was instrumented on the test vehicle to collect the tire noise data at both the leading edge and the trailing edge of the contact patch. An optical sensor recording the once-per-revolution signal was also installed to monitor the vehicle speed and, more importantly, to provide the data needed to perform the order-tracking analysis to break down the tire noise into two components. These two components are the tread pattern noise and the non–tread pattern noise. It is concluded that for the nonporous asphalt pavement tested, the non–tread pattern noise increases with rubber hardness by ∼0.23 dBA/Shore A. The tire carcass width (section width plus two times section height) influences the central frequencies of the non–tread pattern noise spectrum; the central frequencies decrease as the tire carcass width increases.

Effects of Speed on Tire–Pavement Interaction Noise (Tread-Pattern–Related Noise and Non–Tread-Pattern–Related Noise)

2018 ◽  
Vol 46 (2) ◽  
pp. 54-77 ◽  
Author(s):  
T. Li ◽  
J. Feng ◽  
R. Burdisso ◽  
C. Sandu
Keyword(s):  
Optical Sensor ◽  
Noise Level ◽  
Field Tests ◽  
Sound Intensity ◽  
Leading Edge ◽  
Noise Spectrum ◽  
Vehicle Speed ◽  
Noise Component ◽  
Tire Noise ◽  
The One

ABSTRACT Tire noise is mainly generated from the interaction between tire and pavement. Different combinations of tire and pavement usually generate noise of different levels and different frequencies. For the same tire and same pavement, the most important factor influencing the noise level is vehicle speed. To provide a detailed description of the effects of speed on the noise generation, the present study investigates the tire noise of nineteen tires of the same size but with different tread patterns. The study includes the standard reference test tire and four other normal patterned tires running on a nonporous asphalt pavement using an on-board sound intensity (OBSI) technique. This OBSI system also has an optical sensor to monitor vehicle speed and to perform order-tracking analysis. The field tests were conducted under different vehicle speed values (72-105 km/h; i.e., 45-65 mph). The effects of speed on the noise spectrum and on the overall noise level have been analyzed. In addition, using the optical sensor signal, the tire noise related to the tire tread pattern has been isolated from noises from all other sources. The effects of speed on the separated signals have also been investigated. It was found that increasing speed increases the frequencies and levels of tread-pattern–related noise component, while for the noise component not related to the tread pattern, increasing speed only increases its amplitude, not its frequency. In addition, the noise generated at the trailing edge of the contact patch is more sensitive to the speed than the one at the leading edge.

A study of sound sources and unsteady surface pressure in an axial fan

2021 ◽  
pp. 2150267
Author(s):  
Bo Luo ◽  
Wuli Chu ◽  
Song Yan ◽  
Zhengjing Shen ◽  
Haoguang Zhang
Keyword(s):  
Leading Edge ◽  
Noise Spectrum ◽  
Industrial Applications ◽  
Acoustic Analogy ◽  
Dynamics Modeling ◽  
Axial Fan ◽  
Sound Sources ◽  
Recirculating Flow ◽  
Aerodynamic Interaction ◽  
Blade Tip

The noise emitted from an axial fan has become one of the primary concerns for many industrial applications. This paper presents the work to predict the noise generation and investigate sound sources in a low speed axial fan. Computational fluid dynamics modeling is conducted using Scale Adaptive Simulation for the unsteady flow field. The sound predictions by the acoustic analogy are in good agreement with the experimental data. The results from this study show that the aerodynamic interaction between the blades and outlet vanes has a major contribution to the radiated noise spectrum. Two types of sources of narrowband humps are identified in the axial fan. The first is found at the leading edge of the blade tip, which is related to the interaction of coherent flow structures in the blade tip region. The second is found in the vicinity of the blade hub, which can be attributed to the recirculating flow and hub vortex. The noise below the frequency of 1500 Hz is mainly due to the blade-outlet vane aerodynamic interaction, manifested as the tonal sound at BPF and its harmonics, whereas above 1500 Hz the broadband component of sound is mainly related to the turbulent boundary layers.

scholarly journals Research on the fuel consumption conservation potential of ADAS on passenger cars

2021 ◽  
Vol 268 ◽  
pp. 01035
Author(s):  
Guogang Qian ◽  
Tieqiang Fu ◽  
Long Sun
Keyword(s):  
Traffic Management ◽  
Green Light ◽  
Autonomous Driving ◽  
Energy Utilization ◽  
Active Management ◽  
Vehicle Speed ◽  
Fuel Saving ◽  
Passenger Cars ◽  
The Road ◽  
Network Connection

Under the trend of automobile electrification, network connection, and intelligence, EU and USA have carried out fuel-saving research and initiatives on ADAS and CAV. The eCoMove project has aimed at economically optimal driving control and traffic management; MAVEN discusses the technical path of GLOSA (Green Light Optimal Speed Advisory) and ecological auto-driving EAD (Eco-Autonomous Driving) by smoothing the vehicle speed. The American NEXTCAR project contains multiple projects. When supplemented with DSF (Dynamic Skip Fire) and 48V technology, the road test led by Ohio State University resulted in a 15% fuel saving rate. Platoon and optimizing intersection signal lights can offer vehicles a more fuel-efficient condition; slope energy utilization, HEV SOC active management, cold storage evaporator, coasting, 48V and mDSF (miller cycle Dynamic Skip Fire) fuel-saving potential has been fully utilized.

Research and Application on the Crumb Rubber Modified Low-Noise Asphalt Pavement

2011 ◽  
Vol 374-377 ◽  
pp. 1351-1356
Author(s):  
Zhi Xiang Zhang ◽  
Wei Liu ◽  
Xiao Yan Li
Keyword(s):  
Asphalt Pavement ◽  
Sound Intensity ◽  
Crumb Rubber ◽  
Test Methods ◽  
Low Noise ◽  
Performance Tests ◽  
Materials Selection ◽  
Content Selection ◽  
Asphalt Content ◽  
Pavement Noise

In this paper, the research of Low-Noise Asphalt Pavement（LNAP）mix design with the crumb rubber has been studied, including materials selection, gradation selection, asphalt content selection, performance tests, and so on. To verify the high-temperature performance and the effect of noise reducing, the new test methods are studied in the lab. The On-board Sound Intensity (OBSI) is developed to measure the tire-pavement noise and evaluate the noise reducing effect of trial pavement. The QC and QA of LNAP is researched by the trial pavement and the tire-pavement noise is measured by the OBSI，the LNAP has not only the good performance but also low noise than the conventional asphalt pavement.

Designing Clean Jet-Noise Facilities and Making Accurate Jet-Noise Measurements

2003 ◽  
Vol 2 (3) ◽  
pp. 371-412 ◽  
Author(s):  
K. K. Ahuja
Keyword(s):  
Frequency Response ◽  
Internal Noise ◽  
Jet Noise ◽  
Noise Spectrum ◽  
Full Scale ◽  
Research Facility ◽  
High Quality ◽  
Jet Engine ◽  
Noise Measurements ◽  
Noise Data

The main objective of this paper is to provide guidelines for designing and calibrating a high quality, static, jet-noise research facility and making high-quality jet noise measurements. Particular emphasis is placed on methodology for determining if internal noise is dominant in the jet noise spectrum. A section of this document is devoted to clarifying the terminology associated with microphone frequency response corrections and providing a step-wise description of other corrections that must be applied to the measured raw spectra before the jet noise data can be considered accurate and ready for use for extrapolation to full-scale jet engine noise.

scholarly journals Testing and evaluation of cold-start emissions from a gasoline engine in RDE test at two different ambient temperatures

2021 ◽  
Vol 11 (1) ◽  
pp. 425-434
Author(s):  
Jacek Pielecha ◽  
Kinga Skobiej ◽  
Karolina Kurtyka
Keyword(s):  
Ambient Temperature ◽  
Gasoline Engine ◽  
Cold Start ◽  
Exhaust Emissions ◽  
Operating Parameters ◽  
Time Interval ◽  
Vehicle Speed ◽  
Passenger Cars ◽  
Ambient Temperatures ◽  
The Impact

Abstract In order to better reflect the actual ecological performance of vehicles in traffic conditions, both the emission standards and the applied emission tests are being developed, for example by considering exhaust emissions for a cold engine start. This article presents the research results on the impact of ambient temperature during the cold start of a gasoline engine in road emission tests. The Real Driving Emissions (RDE) tests apply to passenger cars that meet the Euro 6 emissions norm and they are complementary to their type approval tests. A portable emissions measurement system was used to record the engine and vehicle operating parameters, as well as to measure the exhaust emissions during tests. This allowed for parameters such as engine load, engine speed and vehicle speed to be monitored. The cold start conditions for two different temperatures (8°C and 25°C) were compared in detail. Moreover, the engine operating parameters, exhaust concentration values and road emissions for the 300 s time interval, were compared. The summary of the article presents the share of a passenger car’s cold start phase for each exhaust compound in the urban part of the test and in the entire Real Driving Emissions test depending on the ambient temperature.

scholarly journals Analysis of effective pore pressure in asphalt pavement based on computational fluid dynamics calculation

2017 ◽  
Vol 9 (2) ◽  
pp. 168781401668522 ◽  
Author(s):  
Xuedong Guo ◽  
Mingzhi Sun ◽  
Wenting Dai
Keyword(s):  
Fluid Dynamics ◽  
Asphalt Pavement ◽  
Micromechanical Model ◽  
Lower Boundary ◽  
Pore Wall ◽  
Maximum Pressure ◽  
Vehicle Speed ◽  
Exit Slit ◽  
Traffic Loading ◽  
Dynamics Calculation

A micromechanical model was established based on the fluid dynamics theory. This model could be used to calculate several kinds of data when the asphalt pavement under the influence of traffic loading is in water-saturated condition. The results showed that the maximum pressure inside the effective pore was located at the junction between exit slits and the pore wall. There was a positive correlation between the pressure and the vehicle speed. Therefore, the repeated traffic loading could cause emulsification, shift and even peeling of the asphalt membrane. Moreover, the bigger size of the exit slit is, the higher velocity of the fluid has. The high velocity flow keeps scouring both the exit slit and the lower boundary of pore wall. It will cause a bigger slit. Pressure distribution inside the effective pore is related to the number of the exit slit which connect with the pore. More exit slits means bigger pressure inside the effective pore. In addition, if asphalt membranes at exit slits have micro-cracking, the cumulative damage could appear easily and asphalt membranes could be peeled easily. Finally, a test was conducted so as to obtain the bonding strength and adhesion strength between asphalt and aggregate. Then, we can get accurate damage form and position during the scour process by comparing the numerical simulation results with experiment results.

Influence of Pavement Roughness on Tire Noise

1999 ◽  
Author(s):  
Richard J. Ruhala ◽  
Courtney B. Burroughs
Keyword(s):  
Power Spectra ◽  
Leading Edge ◽  
Sound Power ◽  
Acoustic Intensity ◽  
Radiated Noise ◽  
Tire Noise ◽  
Pavement Roughness ◽  
Different Types ◽  
Acoustical Holography ◽  
Nearfield Acoustical Holography

Abstract In this study, the influence of the levels of pavement roughness on tire noise is examined using Nearfield Acoustical Holography (NAH) to measure noise from single tires mounted on a two-wheel trailer towed over different types of pavements. Contributions to the radiated noise from the leading edge, trailing edge, and sidewall of two tires are identified. Two experimental tires — a blank tire and a monopitch tire — are evaluated on three pavements — smooth asphalt, stud-damaged concrete, and Ellsworth — at 56 km/hr. From the measured complex pressure, acoustic intensity is reconstructed on side plane of the tires using NAH procedures. Additionally, sound power spectra levels are presented. Tire noise generating mechanisms associated with each pavement are inferred from measurements. The experimental results are compared with theories on pavement-induced tire noise available in the literature.

Testing and Analysis of Autonomous Emergency Braking Systems Using the Euro NCAP Vehicle Target

2014 ◽  
Author(s):  
Matthew L. Schwall ◽  
John D. Neal ◽  
Charles J. Retallack ◽  
Robert E. Larson ◽  
Graeme F. Fowler
Keyword(s):  
Sensor Data ◽  
Vehicle Speed ◽  
Test Results ◽  
Passenger Cars ◽  
Collision Warning ◽  
Euro Ncap ◽  
Emergency Braking ◽  
Collision Mitigation ◽  
The Subject ◽  
Forward Collision Warning

Passenger cars are increasingly available equipped with Autonomous Emergency Braking (AEB). AEB systems detect likely forward collisions and apply the vehicle’s brakes if the driver fails to do so, reducing vehicle speed in order to mitigate or potentially avoid a collision. The performance of these systems is experimentally evaluated in tests including those specified by the European New Car Assessment Program (Euro NCAP) and by the Insurance Institute for Highway Safety (IIHS). In both of these testing programs the subject vehicle is driven towards a Euro NCAP Vehicle Target, an inflatable device designed to have visual and radar reflective characteristics similar to the rear of a compact car. The results reported by Euro NCAP and the IIHS have revealed significant differences in the AEB test results achieved by various AEB-equipped vehicles. Such differences exist even between vehicles with similar sensing technologies, suggesting that the source of such disparities may be differences in sensor data processing methods or differences in collision mitigation and avoidance strategies. This paper details the performance of AEB as well as Forward Collision Warning (FCW) systems when tested with the Euro NCAP Vehicle Target. These results are analyzed, exploring the differences in the performance of these systems under the test conditions and discussing possible reasons for the observed disparities.

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