Identification of the noise using mathematical modelling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F16%3A86099619" target="_blank" >RIV/61989100:27230/16:86099619 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.epj-conferences.org/articles/epjconf/pdf/2016/09/epjconf_efm2016_02017.pdf" target="_blank" >http://www.epj-conferences.org/articles/epjconf/pdf/2016/09/epjconf_efm2016_02017.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/epjconf/201611402017" target="_blank" >10.1051/epjconf/201611402017</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Identification of the noise using mathematical modelling

Popis výsledku v původním jazyce

In engineering applications the noisiness of a component or the whole device is a common problem. Currently, a lot of effort is put to eliminate noise of the already produced devices, to prevent generation of acoustic waves during the design of new components, or to specify the operating problems based on noisiness change. The experimental method and the mathematical modelling method belong to these identification methods. With the power of today's computers the ability to identify the sources of the noise on the mathematical modelling level is a very appreciated tool for engineers. For example, the noise itself may be generated by the vibration of the solid object, combustion, shock, fluid flow around an object or cavitation at the fluid flow in an object. For the given task generating the noise using fluid flow on the selected geometry and propagation of the acoustic waves and their subsequent identification are solved and evaluated. In this paper the principle of measurement of variables describing the fluid flow field and acoustic field are described. For the solution of fluid flow a mathematical model implemented into the CFD code is used. The mathematical modelling evaluation of the flow field is compared to the experimental data. (C) 2016 Owned by the authors, published by EDP Sciences.

Název v anglickém jazyce

Identification of the noise using mathematical modelling

Popis výsledku anglicky

In engineering applications the noisiness of a component or the whole device is a common problem. Currently, a lot of effort is put to eliminate noise of the already produced devices, to prevent generation of acoustic waves during the design of new components, or to specify the operating problems based on noisiness change. The experimental method and the mathematical modelling method belong to these identification methods. With the power of today's computers the ability to identify the sources of the noise on the mathematical modelling level is a very appreciated tool for engineers. For example, the noise itself may be generated by the vibration of the solid object, combustion, shock, fluid flow around an object or cavitation at the fluid flow in an object. For the given task generating the noise using fluid flow on the selected geometry and propagation of the acoustic waves and their subsequent identification are solved and evaluated. In this paper the principle of measurement of variables describing the fluid flow field and acoustic field are described. For the solution of fluid flow a mathematical model implemented into the CFD code is used. The mathematical modelling evaluation of the flow field is compared to the experimental data. (C) 2016 Owned by the authors, published by EDP Sciences.

Druh

D - Stať ve sborníku

CEP obor

JR - Ostatní strojírenství

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

EPJ Web of Conferences. Volume 114

ISBN

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ISSN

2101-6275

e-ISSN

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Počet stran výsledku

7

Strana od-do

1-7

Název nakladatele

EDP Sciences

Místo vydání

Paříž

Místo konání akce

Praha

Datum konání akce

17. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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