Ultrasonic characterization of transverse defects in rail heads

被引：0
|
作者：
Singh, S [1 ]
Clark, R [1 ]
机构：
[1] Sperry Rail Serv, Dept R&D, Danbury, CT 06810 USA
来源：
REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 21A & B | 2002年 / 615卷
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Knowledge of the sound fields for 70degrees refracted shear waves and their interaction with defects is important in optimizing ultrasonic rail inspection. In this work, we studied the sound fields for 70degrees refracted shear waves in four rail specimens having Side-Drilled Holes (SDH) and Electrical Discharge Machined (EDM) notches. The results show that the detection of the artificial defects (SDH and EDM notches) depended on the geometry of the railhead, the lateral positions of the transducers, the size of the SDH, and the orientation and size of the EDM notches.
引用
收藏
页码：1798 / 1805
页数：8
相关论文
共 50 条
  • [31] High-speed monitoring of surface defects in rail tracks using ultrasonic Doppler effect
    Wooh, SC
    Clay, A
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 17A AND 17B, 1998, : 1681 - 1688
  • [32] Ultrasonic characterization of an elastic tube by the measurement of transverse sound velocity.
    Latif, R
    Aassif, EH
    Decultot, D
    Maze, G
    Faiz, B
    Moudden, A
    ANNALES DE CHIMIE-SCIENCE DES MATERIAUX, 2000, 25 (01): : 11 - 20
  • [33] THE CHARACTERIZATION OF CRACK-LIKE DEFECTS USING ULTRASONIC IMAGES
    Zhang, J.
    Velichko, A.
    Drinkwater, B. W.
    Wilcox, P. D.
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 29A AND 29B, 2010, 1211 : 895 - 902
  • [34] Data Fusion of Multiview Ultrasonic Imaging for Characterization of Large Defects
    Bevan, Rhodri L. T.
    Budyn, Nicolas
    Zhang, Jie
    Croxford, Anthony J.
    Kitazawa, So
    Wilcox, Paul D.
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2020, 67 (11) : 2387 - 2401
  • [35] Characterization of Defects Using Ultrasonic Arrays: A Dynamic Classifier Approach
    Bai, Long
    Velichko, Alexander
    Drinkwater, Bruce W.
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2015, 62 (12) : 2146 - 2160
  • [36] Detection and characterization of defects in metal pipes in ultrasonic immersion tests
    Jimenez Gomez, John
    Loaiza Correa, Humberto
    HOMBRE Y LA MAQUINA, 2010, (34): : 56 - 67
  • [37] NON-CONTACT ULTRASONIC CHARACTERIZATION OF ANGLED SURFACE DEFECTS
    Edwards, R. S.
    Dutton, B.
    Rosli, M. H.
    Clough, A. R.
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 30A AND 30B, 2011, 1335 : 257 - 264
  • [38] Automated characterization of weld defects detected by ultrasonic nondestructive testing
    Kopp, N
    Chauveau, D
    Flotté, D
    Lumbreras, M
    ENVIRONMENTAL MONITORING AND REMEDIATION TECHNOLOGIES, 1999, 3534 : 655 - 662
  • [39] Non-contact ultrasonic characterization of defects using EMATs
    Edwards, RS
    Dixon, S
    Jian, X
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 24A AND 24B, 2005, 760 : 1568 - 1575
  • [40] Characterization of defects in flexible circuits with ultrasonic atomic force microscopy
    Nalladega, Vijayaraghava
    Sathish, Shamachary
    Brar, Amarjit S.
    MICROELECTRONICS RELIABILITY, 2008, 48 (10) : 1683 - 1688
12345