Literature DB >> 18255117

Locating point of impact in anisotropic fiber reinforced composite plates.

Tribikram Kundu1, Samik Das, Steven A Martin, Kumar V Jata.   

Abstract

The conventional triangulation technique cannot predict the point of impact in an anisotropic composite plate because the triangulation technique assumes that the wave speed is independent of the direction of propagation which is not the case for anisotropic plates. An alternative method based on the optimization scheme was proposed by Kundu et al. [T. Kundu, S. Das, K.V. Jata, Point of impact prediction in isotropic and anistropic plates from the acoustic emission data, J. Acoust. Soc. Am. 122, 2007, 2057-2066] to locate the point of impact in plates by analyzing the time of arrival of the ultrasonic signals received by the passive sensors attached to the plate. In this paper, that objective function is modified further to overcome the inherent difficulties associated with multiple singularities and to maximize the efficiency of the acoustic emission data for multiple receiving sensors. With this modified objective function the impact point on an anisotropic composite plate is predicted from the acoustic emission data. Experiments are carried out by dropping steel and ping pong balls on a graphite-epoxy composite plate and recording acoustic signals by passive transducers adhesively bonded to the plate at three different locations. The impact point is predicted by the proposed method and compared with the actual location of impact.

Entities:  

Year:  2007        PMID: 18255117     DOI: 10.1016/j.ultras.2007.12.001

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  2 in total

1.  Microwave radar imaging of heterogeneous breast tissue integrating a priori information.

Authors:  Jochen Moll; Thomas N Kelly; Dallan Byrne; Mantalena Sarafianou; Viktor Krozer; Ian J Craddock
Journal:  Int J Biomed Imaging       Date:  2014-11-11

2.  Locating single-point sources from arrival times containing large picking errors (LPEs): the virtual field optimization method (VFOM).

Authors:  Xi-Bing Li; Ze-Wei Wang; Long-Jun Dong
Journal:  Sci Rep       Date:  2016-01-12       Impact factor: 4.379

  2 in total

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