음향방출신호 기반 마찰접합재의 인프로세스 강도 예측기술 개발

Abstract

In this study, the friction welding of aluminum alloy experiments were performed by using the design of experiment to evaluate parameters of friction welding. As a results, the heating pressure had most effect on improving strength of welding part. Therefore, the optimal welding condition was selected as 25MPa of heating pressure, 50MPa of upsetting pressure, 0.5sec of heating time and 5sec of upsetting time. And the signal data acquired by acoustic emission sensor were analyzed to predict the tensile strength of friction welding part at friction welding process for Al6061 aluminum alloy. A dimensionless coefficient(∅AE), which consisted in the square of AE rms and variance, was defined as the characteristic of friction welding and the prediction equation was obtained by using linear regression. As a result of analysis, it was seen that the correlation between predicted and measured values became very close and on-line prediction of the ensile strength was possible in friction welding part.