Objective
All in all, a significant progress was made in a number of technology areas specifically for truck exterior noise, but also for general airborne radiation and transfer. And a large consensus on how to describe and handle airborne source strengths and the airborne transfer process was reached during the project. Apart from implementation in truck development, some of the methods have already been carried into other research projects where airborne noise control is envolved.
Exploitation has started; instruments, software, engineering know-how are available and modification on trucks are under investigation using some of the methods from this project.
The need to lower the noise emission of heavy vehicles (trucks,coaches) is give by new environmental awareness and by substantially more stringent acceptance levels for ISO pass-by noise qualification procedure in 1986. The vehicle manufacturers will meet these new standards,but the cost of doing so will be considerable. The aim of this project is to provide heavy vehicle manufacturers with new and improved tools that enable a faster and more accurate optimization of the vehicle in regard to lower noise emissions. This will lead to substantial cost savings by improved efficiency of the measures on the vehicle, by improved efficiency in the development process of components and by better design in respect to maintenance. A coherent network of necessary activities will take place:
- The identification of the noise sources on a vehicle will be improved.
- Data from tested measurements on components will be integrated with total vehicle noise.
- Optimization of shield configurations will be better controlled and more efficient by modelling guide-lines and by a new experimental Technique.
The consortium comprises heavy vehicle manufacturers,instrument, software and consultancy companies and two universities . By their joint effort some powerful tools will emerge that will increase the efficiency and technological content of European heavy vehicles.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
3001 HEVERLEE
Belgium