Inverse analysis of ultrasonic signals of ceramics based on ultrasonic self-compensating technique

被引:0
|
作者
Lee, JH
Cheng, A
机构
[1] Pusan Natl Univ, Sch Mech Engn, Pusan 609735, South Korea
[2] Northwestern Univ, Ctr Qual Engn & Failure Prevent, Evanston, IL 60201 USA
关键词
ultrasonic self-compensating technique; inverse problem; ceramics; HIP process; the ratio function;
D O I
10.1007/BF02915819
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
An ultrasonic self-calibrating technique for the characterization of a ceramic which was fabricated by change pressing time during the HIP process has been applied by using the ratio of the reflection and transmission coefficients of normal incidence longitudinal waves. The ratio is self-compensated, in that it is independent of the characteristics for transmission and reception of ultrasound by the transducer and the condition of the couplant. The insensitive direction in parameter space is defined as the direction in which the variation of the ratio to changes of two parameters vanishes. For inverse problem the distribution of minima in an error surface is investigated.
引用
收藏
页码:185 / 190
页数:6
相关论文
共 50 条
  • [31] An acceleration transducer based on optical fiber Bragging grating with temperature self-compensating function
    Wang, Chuan
    Lu, Qiyu
    Ou, Jinping
    SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2013, 2013, 8692
  • [32] Development of Perovskite based Ceramics for Ultrasonic Applications
    Khalid, M.
    Shuaib, M.
    Khan, A. A.
    ADVANCED MATERIALS XI, 2010, 442 : 422 - +
  • [33] Acoustic impedance measurement using PLSR based analysis of ultrasonic signals
    Schaefer, R
    Hauptmann, P
    2005 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-4, 2005, : 178 - 181
  • [34] Wavelet based analysis of Doppler ultrasonic wrist-pulse signals
    Zhang, Dongyu
    Zhang, Lei
    Zhang, David
    Zheng, Yongping
    BMEI 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOL 2, 2008, : 539 - +
  • [35] Crack detection system based on spectral analysis of a ultrasonic resonance signals
    Cabrera, M
    Castell, X
    Montoliu, R
    2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SPEECH II; INDUSTRY TECHNOLOGY TRACKS; DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS; NEURAL NETWORKS FOR SIGNAL PROCESSING, 2003, : 605 - 608
  • [36] Wavelet analysis of ultrasonic testing signals in rock
    Department of Basic Science, North China Institute of Science and Technology, Sanhe 065201, China
    不详
    Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban), 2006, 2 (197-199):
  • [37] ANALYSIS AND MODELING OF THE ULTRASONIC DISPERSION TECHNIQUE
    AOKI, M
    RING, TA
    HAGGERTY, JS
    ADVANCED CERAMIC MATERIALS, 1987, 2 (3A): : 209 - 212
  • [38] A new technique for the identification of ultrasonic flaw signals using deconvolution
    Kim, YH
    Song, SJ
    Kim, JY
    ULTRASONICS, 2004, 41 (10) : 799 - 804
  • [39] Self-Compensating Displacement Sensor Based on Hydramatic Structured Transducer and Fiber Bragg Grating
    Chen, Shimeng
    Liu, Yun
    Liu, Xiuxin
    Zhang, Yang
    Peng, Wei
    PHOTONIC SENSORS, 2015, 5 (04) : 351 - 356
  • [40] Remote Sensing Scene Image Classification Based on Self-Compensating Convolution Neural Network
    Shi, Cuiping
    Zhang, Xinlei
    Sun, Jingwei
    Wang, Liguo
    REMOTE SENSING, 2022, 14 (03)