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Prediction of Tensile Strength for Friction-Welded Magnesium Alloy Part by Acoustic Emission  

Shin, Chang-Min (부경대학교 대학원)
Kang, Dae-Min (부경대학교 기계공학과)
Choi, Jong-Whan (부경대학교 기계공학과)
Kwak, Jae-Seob (부경대학교 기계공학과)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.11, no.2, 2012 , pp. 34-39 More about this Journal
Abstract
In this study, the friction welding experiment was performed by using the design of experiment. 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 AZ31 magnesium alloy. A dimensionless coefficient($\phi_{AE}$), 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 the 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.
Keywords
Acoustic Emission; Friction Welding; Tensile Strength; Linear Regressive Analysis; Dimensionless Coefficient;
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  • Reference
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