Ultrasonic Identification of Polycrystalline Metal Materials based on Linear Prediction Analysis

The approach to identifying polycrystalline metal materials based on linear prediction analysis is introduce. The complex microstructure of polycrystalline metals results in different reflection, scattering and attenuation to ultrasonic waves. Based on the interaction between ultrasonic waves and microstructure of polycrystalline metals, this paper proposes a method to determine important items from tampering by using linear prediction coefficient (LPC). The linear prediction coefficient of the target item is extracted by the ultrasonic probe as its ultrasonic fingerprint signature. It is found that LPC ultrasonic fingerprint performs well as an authenticating technology to verify whether a specific item is genuine. This study provides a basis for the identification of polycrystalline metal materials with the same material and appearance.