<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The paper deals with the application of artificial neural networks (ANN) to tires’ own frequency (OF) prediction depending on a tire construction. Experimental data of OF were obtained by electronic speckle pattern interferometry (ESPI). A very good conformity of both experimental and predicted data sets is presented here. The presented ANN method applied to ESPI experimental data can effectively help designers to optimize dimensions of tires from the point of view of their noise.</p></abstract>

The paper deals with the application of artificial neural networks (ANN) to tires’ own frequency (OF) prediction depending on a tire construction. Experimental data of OF were obtained by electronic speckle pattern interferometry (ESPI). A very good conformity of both experimental and predicted data sets is presented here. The presented ANN method applied to ESPI experimental data can effectively help designers to optimize dimensions of tires from the point of view of their noise.

Artificial Neural Networks Application in Modal Analysis of Tires

Department of Material Engineering, Faculty of Metallurgy and Materials Engineering, VŠB-Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic

Department of Automation and Computer Science in Metallurgy, Faculty of Metallurgy and Materials Engineering, VŠB-Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic

Department of Physical Engineering of Materials, Faculty of Industrial Technologies, University of Alexander Dubček in Trenčín, I. Krasku 491/30, 020 01 Púchov, Slovak Republic

Institute of Physics, Faculty of Mining and Geology, VŠB-Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic

RMTVC, Faculty of Metallurgy and Materials Engineering,VŠB-Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic

Nanotechnology Centre, VŠB-Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic, marta.harnicarova@vsb.cz

Measurement Science Review

{"article-title":"Artificial Neural Networks Application in Modal Analysis of Tires"}

The paper deals with the application of artificial neural networks (ANN) to tires’ own frequency (OF) prediction depending on a tire construction. Experimental...

Artificial Neural Networks Application in Modal Analysis of Tires

Publié en ligne: 02 nov. 2013

Pages: 273 - 278

DOI: https://doi.org/10.2478/msr-2013-0040

Mots clés
ESPI, modal analysis, neural networks, tires

This content is open access.

Artificial Neural Networks Application in Modal Analysis of Tires

Publié en ligne: 02 nov. 2013

Pages: 273 - 278

DOI: https://doi.org/10.2478/msr-2013-0040

Mots clésESPI, modal analysis, neural networks, tires

This content is open access.

Mots clés
ESPI, modal analysis, neural networks, tires