Forecasting Durability and Cyclic Strength of Aluminum Alloy AA2219 Using Fractal Analysis of Acoustic Emission

Abstract

Acoustic emission (AE) monitoring was used to examine the fatigue failure of aluminum alloy AA2219 under cyclic loading. AE fractal analysis revealed separate sources of elastic waves on the macro-, meso-, and micro-levels of the deformed material. The correlation between the number of AE hits, revealed during the first loading cycle, from the AE sources was shown on the macrolevel and the number of loading cycles, leading to the destruction of the sample. Results achieved allow forecasting durability of materials made of AA2219 alloy right after the first loading half-cycle.