The Application of Neural Networks for Studying Phase Transformation by the Method of Acoustic Emission in Bearing Steel/ Zastosowanie Sieci Neuronowych Do Badania Przemian Fazowych W Stali Łożyskowej Metodą Emisji Akustycznej

Archives of Metallurgy and Materials

A. Trafarski¹  T.Z. Wozniak¹  P. Ranachowski²  Z. Ranachowski²  W. Ozgowicz³ 

[1] KAZIMIERZ WIELKI UNIVERSITY, INSTITUTE OF TECHNOLOGY, 30 CHODKIEWICZA STR., 85-064 BYDGOSZCZ, POLAND;POLISH ACADEMY OF SCIENCES, INSTITUTE OF FUNDAMENTAL TECHNOLOGICAL RESEARCH, 5B PAWINSKIEGO STR., 02-103 WARSZAWA, POLAND;SILESIAN UNIVERSITY OF TECHNOLOGY, INSTITUTE OF ENGINEERING AND BIO-MATERIALS, 18A KONARSKIEGO STR., 44-100 GLIWICE, POLAND

关键词: Keywords: Bearing steel;    austempering;    lower bainite;    acoustic emission;    neural networks;   

DOI  :  10.2478/amm-2014-0288

学科分类：金属与冶金

来源: Akademia Gorniczo-Hutnicza im. Stanislawa Staszica / University of Mining and Metallurgy

【 摘 要 】

The research was carried out on steel 100CrMnSi6-4 under isothermal austempering resulting in forming the duplex structure: martensitic and bainitic. The kinetics of transformation was controlled by the acoustic emission method. Complex phase transformations caused by segregation and carbide banding occur at the low-temperature heat treatment of bearing steel. At the temperature close to MS, a certain temperature range occurs where an effect of the first product of prior athermal martensite on the bainitic transformation can be observed. In the registered signal about 15 million various events were registered. There were considered three types of acoustic emission events (of high, medium and low energy), with relatively wide sections and with different spectral characteristics. It was found that the method of acoustic emission complemented by the application of neural networks is a sensitive tool to identify the kinetics of bainitic transformation and to show the interaction between martensitic and bainitic transformations.

【 授权许可】

Unknown