Truck Interior Noise Correlation using the SAE Road Load Method in the Commissioning of the E-A-R™ Acoustic Technology Center

2009 ◽  
Author(s):  
Steven Jorro ◽  
Keith Thompson ◽  
Andrew Smith
Keyword(s):  
Interior Noise ◽  
Noise Correlation ◽  
Technology Center ◽  
Road Load

Analysis of Vehicle Interior Noise Correlation to Road Traffic Accidents Caused by Driver Sleepiness

2017 ◽  
Author(s):  
Eduardo Bauzer Medeiros ◽  
Frederico Luiz de Carvalho Moura ◽  
Gabriel Mendes de Almeida Carvalho ◽  
Rafael Morais Cunha ◽  
Arthur Delfim
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Interior Noise ◽  
Noise Correlation ◽  
Road Traffic Accidents ◽  
Vehicle Interior ◽  
Vehicle Interior Noise ◽  
Driver Sleepiness

Plane Wave Resonance in the Tire Air Cavity as a Vehicle Interior Noise Source

1995 ◽  
Vol 23 (1) ◽  
pp. 2-10 ◽  
Author(s):  
J. K. Thompson
Keyword(s):  
Closed Form Solution ◽  
Form Solution ◽  
Interior Noise ◽  
Cavity Resonance ◽  
Test Results ◽  
Vehicle Interior ◽  
Air Cavity ◽  
Vehicle Interior Noise ◽  
Wave Resonance ◽  
Resonance Frequencies

Abstract Vehicle interior noise is the result of numerous sources of excitation. One source involving tire pavement interaction is the tire air cavity resonance and the forcing it provides to the vehicle spindle: This paper applies fundamental principles combined with experimental verification to describe the tire cavity resonance. A closed form solution is developed to predict the resonance frequencies from geometric data. Tire test results are used to examine the accuracy of predictions of undeflected and deflected tire resonances. Errors in predicted and actual frequencies are shown to be less than 2%. The nature of the forcing this resonance as it applies to the vehicle spindle is also examined.

Active control for vehicle interior noise using the improved iterative variable step-size and variable tap-length LMS algorithms

2019 ◽  
Vol 67 (6) ◽  
pp. 405-414 ◽  
Author(s):  
Ningning Liu ◽  
Yuedong Sun ◽  
Yansong Wang ◽  
Hui Guo ◽  
Bin Gao ◽  
...  
Keyword(s):  
Steady State ◽  
Noise Control ◽  
Convergence Speed ◽  
Interior Noise ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Vehicle Interior ◽  
Vehicle Interior Noise ◽  
Variable Step

Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior noise control. The interior noises of a sample vehicle are measured and thereby their frequency characteristics. Results show that the sound energy of noise is concentrated within a low-frequency range below 1000 Hz. The classical LMS, IVS-LMS and VT-LMS algorithms are applied to the measured noise signals. Results further suggest that the IVS-LMS and VT-LMS algorithms can better improve algorithmic performance for convergence speed and steady-state error compared with the classical LMS. The proposed algorithms could potentially be incorporated into other LMS-based algorithms (like the FxLMS) used in ANC systems for improving the ride comfort of a vehicle.

Trash shredder mounted on chopped sugarcane harvester, model John Deere 3520

2016 ◽  
pp. 713-719
Author(s):  
Jorge L.M. Neves ◽  
Natália de C.T. Calori ◽  
Reinaldo C.M. Pimenta ◽  
Celso Aparecido Sarto ◽  
Thales H.Y. Noleto
Keyword(s):  
Particle Size ◽  
Technology Center ◽  
Increasing Trend ◽  
Tillage Operation ◽  
Sugarcane Harvester ◽  
Vegetable Material

With the increasing trend of mechanized harvesting of green sugarcane the trash residue needs to be used. Leaving large amounts of trash remaining on the field can sometimes lead to problems such as delay of sprouting of tillers, increased levels of leafhopper infestation and difficulty of tillage operation. Windrowing of trash after harvesting can minimize these problems. To eliminate the operation of trash windrowing and to facilitate the trash decomposition, the Sugarcane Technology Center, CTC (Centro de Tecnologia Canavieira), Brazil developed a trash shredder system for a primary extractor of John Deere chopper sugarcane harvester. Using rotating knives all vegetable material passing through the primary extractor is chopped, thereby reducing the particle size. After some adjustments, preliminary tests were carried out to prove the efficiency of chopping and sugarcane cleaning. The machine produces a much smaller trash particle size than conventional harvesters. The system shows promise in shredding trash either for use at the mill or for dispersion on the field.

scholarly journals Monte Carlo Simulation Methodology to Assess the Impact of Ambient Wind on Emissions from a Light-Commercial Vehicle Running on the Worldwide-Harmonized Light-Duty Vehicles Test Cycle (WLTC)

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 661
Author(s):  
Alexandros T. Zachiotis ◽  
Evangelos G. Giakoumis
Keyword(s):  
Monte Carlo Simulation ◽  
Energy Consumption ◽  
Commercial Vehicle ◽  
Ambient Wind ◽  
Simulation Methodology ◽  
Road Load ◽  
Light Duty ◽  
Light Commercial Vehicle ◽  
Light Duty Vehicles ◽  
The Impact

A Monte Carlo simulation methodology is suggested in order to assess the impact of ambient wind on a vehicle’s performance and emissions. A large number of random wind profiles is generated by implementing the Weibull and uniform statistical distributions for wind speed and direction, respectively. Wind speed data are drawn from eight cities across Europe. The vehicle considered is a diesel-powered, turbocharged, light-commercial vehicle and the baseline trip is the worldwide harmonized light-duty vehicles WLTC cycle. A detailed engine-mapping approach is used as the basis for the results, complemented with experimentally derived correction coefficients to account for engine transients. The properties of interest are (engine-out) NO and soot emissions, as well as fuel and energy consumption and CO2 emissions. Results from this study show that there is an aggregate increase in all properties, vis-à-vis the reference case (i.e., zero wind), if ambient wind is to be accounted for in road load calculation. Mean wind speeds for the different sites examined range from 14.6 km/h to 24.2 km/h. The average increase in the properties studied, across all sites, ranges from 0.22% up to 2.52% depending on the trip and the property (CO2, soot, NO, energy consumption) examined. Based on individual trip assessment, it was found that especially at high vehicle speeds where wind drag becomes the major road load force, CO2 emissions may increase by 28%, NO emissions by 22%, and soot emissions by 13% in the presence of strong headwinds. Moreover, it is demonstrated that the adverse effect of headwinds far exceeds the positive effect of tailwinds, thus explaining the overall increase in fuel/energy consumption as well as emissions, while also highlighting the shortcomings of the current certification procedure, which neglects ambient wind effects.

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