Affiliation:
1. Changchun University
2. Pacific National University
Abstract
There are the results of the acoustic emission (AE) signals spectrum modification during steel 30XGSA heating near the austenite transformation intervals. It is established in the AE signals spectrum during heating depend on steel phase structure. It makes possible the application of AE method for determination the austenite transformation borders. The critical points of austenite formations and austenite decay are based on heat treatment technologies. It is known, that there are phenomenon of steels properties modification without structure modification not for from phase transformation borders. This was very convenient for detecting the particles with foregone energy characteristics. The automated complex allows one to carry out measurements for a long time using two measuring setups in parallel, which is to study the dynamics of theological and acoustic features of the composition being studied.
Publisher
Trans Tech Publications, Ltd.
Reference11 articles.
1. S. G. Taylor, H. Jeong, J. K. Jang, G. Park, K. M. Farinholt, M. D. Todd, and C. M. Ammerman, Full-scale fatigue tests of CX-100 wind turbine blades. Part II: analysis, in SPIE Smart Structures/NDE, San Diego, California, 2012, pp. 83430Q-10.
2. S. R. Anton, et al., Multi-source energy harvesting for wind turbine structural health monitoring node, presented at the Advances in Structural Health Management andComposite Structures, Jeonju, Korea, (2012).
3. KOICHI K, KOICHI N, SHIGERU T. FPGA-based lifting wavelet processor for real-time signal detection [J]. Signal Processing, 2004, 84: 1931-(1940).
4. PAULO R, AGUIAR P J A, SEMI E C, et al. In-process grinding monitoring by acoustic emission. 2004[C], ICASSP04, (5): 405-408.
5. RAVINDRA H V. Some aspects of acoustic emission signal processing [J]. Journal of Materials Processing Technology. 2001, 109: 242～247.