Electronic speckle pattern interferometry for modal analysis

2005 ◽  
Vol 118 (3) ◽  
pp. 1929-1929
Author(s):  
Thomas Moore
2013 ◽  
Vol 13 (5) ◽  
pp. 273-278 ◽  
Author(s):  
P. Koštial ◽  
Z. Jančíková ◽  
D. Bakošová ◽  
J. Valíček ◽  
M. Harničárová ◽  
...  

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.


1996 ◽  
Author(s):  
George Graham ◽  
Jon N. Petzing ◽  
Margaret Lucas ◽  
John R. Tyrer

1997 ◽  
Vol 119 (3) ◽  
pp. 410-414 ◽  
Author(s):  
M. Lucas ◽  
A. C. Smith

Ultrasonic block horns are prone to reliability problems associated with modal activity close to the tuned operating frequency. This paper presents an approach to block horn design, which relies on two laser based vibration measurement techniques, electronic speckle pattern interferometry (ESPI) and laser doppler velocimetry (LDV) modal analysis, to validate finite element (FE) models. Block horn vibration characteristics are interpreted from experimental and theoretical data such that successful horn redesign can be achieved from modifications to the FE models.


1999 ◽  
Vol 31 (2) ◽  
pp. 147-161 ◽  
Author(s):  
George Graham ◽  
Jon Petzing ◽  
Margaret Lucas ◽  
John Tyrer

2000 ◽  
Vol 14 (5) ◽  
pp. 477-482 ◽  
Author(s):  
Koung Suk Kim ◽  
Wan Shik Jang ◽  
Myung Seak Hong ◽  
Ki Soo Kang ◽  
Hyun Chul Jung ◽  
...  

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