公开(公告)号：US20210154773A1

公开(公告)日：2021-05-27

申请号：US16692430

申请日：2019-11-22

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Pei-chung WANG ,  Spyros P. MELLAS ,  Debejyo CHAKRABORTY ,  James Michael WARD ,  Diana M. WEGNER

IPC: B23K31/12 ,  B25J15/00 ,  B23K9/095 ,  B23K9/12 ,  B23K9/127 ,  B23K9/16

Abstract: A weld system includes: a robot control module configured to actuate a robot and move a welder along a joint of metal workpieces during welding, the welder being attached to the robot; a weld control module configured to, during the welding, apply power to the welder, supply a shield gas, and supply electrode material; a vision sensor configured to, during the welding, optically measure distances between the vision sensor and locations, respectively, on an outer surface of a weld bead created along the joint by the welder; and a weld module configured to: determine a strength of the weld bead at a location based on: the distances at the location along the joint; and at least one parameter from at least one of the robot control module during the welding, the weld control module during the welding, and a sensor configured to capture data of the welding during the welding.

公开(公告)号：US20240286232A1

公开(公告)日：2024-08-29

申请号：US18114312

申请日：2023-02-27

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Hassan GHASSEMI-ARMAKI ,  John Patrick SPICER ,  Spyros P. MELLAS ,  Mark ENGEL ,  Miguel Arturo SAEZ ,  Blair E. CARLSON

IPC: B23K37/02 ,  B23K9/00 ,  B23K9/095 ,  B23K9/12

CPC classification number: B23K37/0258 ,  B23K9/0026 ,  B23K9/0953 ,  B23K9/0956 ,  B23K9/126 ,  B23K37/0252 ,  B23K2101/006

Abstract: A system for welding vehicle component assemblies includes a measurement sensor configured to scan first and second vehicle components, a welding apparatus configured to weld the first vehicle component and the second vehicle component together, and at least one processor configured to execute computer-executable instructions to access scan data of the first and second vehicle components, generate a CAD model of an as-scanned assembly of the first and second vehicle components, obtain input parameters associated with one or more features of the first and second vehicle components, generate predicted optimal welding parameters, using the machine learning model, based on CAD model and the input parameters, and control the welding apparatus to perform at least one welding operation on the first and second vehicle components according to the predicted optimal welding parameters.