A Novel Detection of Defects in Al-SiC Composite by Active Pulsed Infrared Thermography Using Data and Image Processing

被引:2
|
作者
Singh, R. Ruban Blessed [1 ]
Sasikumar, T. [1 ]
Suresh, S. [2 ]
Ramanan, G. [3 ]
机构
[1] Cape Inst Technol, Dept Mech Engn, Levengipuram 627114, Tamil Nadu, India
[2] Univ Coll Engn, Dept Mech Engn, Nagercoil 629004, Tamil Nadu, India
[3] ACS Coll Engn, Dept Aeronaut Engn, Bangalore 560074, Karnataka, India
关键词
Active pulse infrared thermography; Hardness test; Tensile test; Microstructure; Thermal data processing; Digital thermal image processing; MECHANICAL-BEHAVIOR; MATRIX COMPOSITES; CHALLENGES; PREDICTION; GRAPHITE; DAMAGE; METAL;
D O I
10.1007/s12666-020-02074-9
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
This paper presents detection of defects on the tensile specimen of Al6061/SiC composite using active pulsed infrared thermography technique (APIRT) by data and image processing. APIRT is a powerful nondestructive evaluation tool for online monitoring of the real defects of composite which gives an accurate region of defects with respect to temperature variations. Al/SiC composites have high strength, high resistance to wear and low weight properties which increases their demand in many industrial applications. Thirty numbers of Al6061/SiC composite specimens were prepared by stir casting technique, out of which 20 specimens are defect-free with different compositions and the remaining with induced defect and cut, as per ASTM standard B577M-14. The APIRT experimental result shows that the Al/SiC composite tensile surface region with defect reveals higher temperature than region without defect and also cooling process proceeds longer in the region having defect. APIRT clearly shows that internal and external surface defects, defect areas with high thermal concentration, accurate defect area with high revolution, prediction of first failure location in specific region of specimen, coverage with large detection areas, size, depth of defect and material loss percentage of defect area are found with digital image processing.
引用
收藏
页码:2767 / 2783
页数:17
相关论文
共 26 条
  • [21] Detection of air and water-filled subsurface defects in GFRP composite bridge decks using infrared thermography
    Halabe, UB
    Roy, M
    Klinkhachorn, P
    GangaRao, HVS
    [J]. REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 25A AND 25B, 2006, 820 : 1632 - 1639
  • [22] A combined three-dimensional digitisation and subsurface defect detection data using active infrared thermography
    Belkacemi, M.
    Stolz, C.
    Mathieu, A.
    Lemaitre, G.
    Aubreton, O.
    [J]. 13TH QUANTITATIVE INFRARED THERMOGRAPHY CONFERENCE, 2016, : 101 - 106
  • [23] Thermography Sequence Processing and Defect Edge Identification of TBC Structure Debonding Defects Detection Using Long-Pulsed Infrared Wave Non-Destructive Testing Technology
    Chiwu Bu
    Zhihui Sun
    Qingju Tang
    Yuanlin Liu
    Chen Mei
    [J]. Russian Journal of Nondestructive Testing, 2019, 55 : 80 - 87
  • [24] Thermography Sequence Processing and Defect Edge Identification of TBC Structure Debonding Defects Detection Using Long-Pulsed Infrared Wave Non-Destructive Testing Technology
    Bu, Chiwu
    Sun, Zhihui
    Tang, Qingju
    Liu, Yuanlin
    Mei, Chen
    [J]. RUSSIAN JOURNAL OF NONDESTRUCTIVE TESTING, 2019, 55 (01) : 80 - 87
  • [25] Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography
    Pareek, Kaushal Arun
    May, Daniel
    Meszmer, Peter
    Ras, Mohamad Abo
    Wunderle, Bernhard
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2024,
  • [26] IMAGE-PROCESSING FOR TARGET DETECTION USING DATA FROM A STARING MOSAIC INFRARED-SENSOR IN GEOSYNCHRONOUS ORBIT
    PATTERSON, TJ
    CHABRIES, DM
    CHRISTIANSEN, RW
    [J]. OPTICAL ENGINEERING, 1986, 25 (01) : 166 - 172