Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS
Content archived on 2024-05-27
Noise abatement using concurrent component-product optimisation

Article Category

Article available in the following languages:

Synthesised noise reduction

In a world plagued by noise pollution, seeking silent refuge inside one's home has become vital. One of the ways to lessen noise in domestic environments is by engineering quieter appliances. Now a technology for noise control of industrial products has been developed which does just that.

In order for this to be achieved, determining what part of the appliance the noise stems from was the core of the issue. This was done through the use of a GSM (Generic Structural Model) of an industrial product consisting of a frame as well as several of its major parts. What was found is that the vibroacoustic characteristics of the frame of the product are just as responsible for generating noise as are all the the mechanical components. A particular technology based on a robust mathematical model for noise control of industrialised products (NST) was then developed. It was responsible for predicting, identifying and reducing the noise of the frame and the parts respectively first in lab cases and then in actual products. To facilitate this process, multi-task software, PRONS (PROduct Noise Synthesiser) was developed. PRONS is a multi-task software in that it can select the least noisy components, evaluate how to reduce their noise and input this information. The output then is band-averaged levels of synthesised noise as well as audible noise reproduction. Since PRONS has updated versions with new features and improvements, its flexibility in terms of wider industrial use has increased and its purpose is for market use. Given all this, it may not be long before quieter washers, dryers and refrigerators make their way into people's homes.

Discover other articles in the same domain of application

My booklet 0 0