公开(公告)号：US20250025967A1

公开(公告)日：2025-01-23

申请号：US18598802

申请日：2024-03-07

Applicant: North University of China

Inventor： Bin LIU ,  Wei CHEN ,  Zhen ZHANG ,  Zhonghua LI ,  Peikang BAI

IPC: B23K31/12 ,  B23K9/04 ,  B33Y30/00 ,  G01N29/04 ,  G01N29/14

Abstract: A device for controlling quality of wire arc additive forming through feedback of acoustic emission comprises a wire arc additive system, an acoustic emission acquisition and identification system, and a feedback control system. The wire arc additive system is configured for forming solid parts by a wire arc additive process. The acoustic emission acquisition and identification system is configured for monitoring the wire arc additive process online and analyzing types and sizes of any resulting defects. The feedback control system is configured for analyzing monitored results and providing timely feedback to the wire arc additive system via a PID circuit. When the resulting defects are small, the types and sizes of defects are analyzed, and an instruction of correcting process parameters is sent to the wire arc additive system. When the resulting defects are too large to be remedied, a shutdown instruction is sent to the wire arc additive system.

公开(公告)号：US20250025941A1

公开(公告)日：2025-01-23

申请号：US18597837

申请日：2024-03-06

Applicant: North University of China

Inventor： Bin LIU ,  Zhen ZHANG ,  Wei CHEN ,  Zhonghua LI ,  Peikang BAI

IPC: B22F10/80 ,  B33Y50/00 ,  G06T7/00 ,  G06V10/764 ,  G06V10/778

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.