DOI QR코드

DOI QR Code

Evaluation on Thermal Shock Damage of Smart Composite using Nondestructive Technique

비파괴 기법을 이용한 스마트 복합재료의 열충격손상평가

  • 이진경 (동의대학교 기계공학과 비파괴) ;
  • 박영철 (동아대학교 기계공학과 재료공학) ;
  • 이규창 (포항과학기술연구원(RIST) 신뢰성) ;
  • 이준현 (부산대학교 기계공학부 비파괴)
  • Published : 2007.06.30

Abstract

Tensile residual stress is occurred by difference of coefficients of thermal expansion between fiber and matrix is one of the serious problems in metal matrix composite(MMC). TiNi alloy fiber was used to solve the problem of the tensile residual stress as the reinforced material. TiNi alloy fiber improves the tensile strength of composite with occurring of compressive residual stress in the matrix by its shape memory effect. A hot press method was used to create the optimal fabrication condition for a Shape Memory Alloy(SMA) composite. The bonding effect of the matrix and the reinforcement within the SMA composite by the hot press method was strengthened by cold rolling. In addition, acoustic emission technique was used to quantify the microscopic damage behavior of cold rolled TiNi/A16061 shape memory alloy composite at low temperature. The damage degree for the specimen that underwent thermal shock cycles was also discussed.

금속복합재료에서는 강화재와 기지재 사이의 열팽창계수 차이에 의해 복합재료 내부에 잔류응력이 남아있어 복합재료 전체의 강도저하를 가져온다. 본 연구에서는 TiNi 형상기억합금을 강화재료로써 이러한 잔류응력 문제를 해결하기 위하여 이용하였다. TiNi 형상기억합금은 형상기억효과를 이용하여 복합재료의 잔류응력문제를 해결할 뿐만 아니라 복합재료의 인장강도를 증가시키는 역할을 한다. 핫프레스 방법에 의해 제작된 형상기억복합재료의 강도증가를 위하여 냉간압연을 실시하여 실험을 실시하였다. 이와 같이 제작된 형상기억복합재료의 저온에서의 미시적 손상거동을 평가하기 위하여 음향방출기법을 이용하였다. 또한 열충격을 받은 시험편의 손상에 대한 연구도 이루어졌다.

Keywords

References

  1. Yuanti Huang, Gueping Y and, Ping He, 'The Investigation of Internal Friction Electric Resistance and Shape Change in TiNi Alloy During Phase Transformations,' Scripta Metallurgica, Vol. 19, 1985, pp. 1033-1038 https://doi.org/10.1016/0036-9748(85)90004-3
  2. Prahlad, H., and Chopra, I, 'Experimental Characterization of Ni- Ti Shape Memory Alloy Wires under Complex Loading Conditions,' Smart Structures and Materials 1999: Smart Structures and Integrated Systems, 1999, pp. 604-616
  3. Arup K., Maji and Ihosvany Negret, 'Smart Prestressing with Shape-Memory Alloy,' J. of Engineering mechanics, Vol. 124, No. 10, 1998, pp. 1121-1128 https://doi.org/10.1061/(ASCE)0733-9399(1998)124:10(1121)
  4. Bukkapatnam STS., Kumara SRT. and Lakhtakia A, 'Analysis of Acoustic Emission Signals Machining,' J. of Manufacturing Science & Engineering, Vol. 121, No. 4, 1999, pp. 568-576 https://doi.org/10.1115/1.2833058
  5. Okafor, A.C., and Birdsong, S.R, 'Monitoring Drilling of Advanced Composites, Drill Wear and Exit Hole Delamination using Wave-Based Acoustic Emission,' Proc. of the Process Control and Sensors for Manufacturing II, 1999, pp. 115-124
  6. Lee, J.K., Lee, J.H., Choi, H.S. and Lee, M.R, 'AE Characteristics on Microscopic Failure Behavior of Carbon/Epoxy Composite Prepared by Cocure and Precure Process', Transactions of the KSME, A, Vol. 24, No. 10, 2000, pp. 2520-2528