Online monitoring device for internal defects in metal selective laser melting

Abstract

An online monitoring device for internal defects in metal selective laser melting is proposed, the online monitoring device includes a metal selective laser melting system, a signal acquisition system, and a signal processing system, the metal selective laser melting system realizes a three-dimensional (3D) printing of metal members and prints metal members with different types or levels of defects; the signal acquisition system is connected with the metal selective laser melting system, and is configured to acquire an acoustic emission signal in the 3D printing process of the metal members; the signal processing system is connected with the signal acquisition system, and is configured to extract characteristic parameters, establish a machine learning model, and discriminate and classify unknown signals in a printing process through using the machine learning model, so as to realize online monitoring of internal defects in the metal selective laser melting system.

Dependencies are inferred from the claim text.