公开(公告)号：US20240191318A1

公开(公告)日：2024-06-13

申请号：US18076693

申请日：2022-12-07

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Diptak BHATTACHARYA ,  Hassan GHASSEMI-ARMAKI ,  Andrew Clay BOBEL ,  Anil K. SACHDEV

IPC: C21D9/46 ,  B32B15/01 ,  C21D8/02 ,  C22C38/02 ,  C22C38/04 ,  C22C38/06

CPC classification number: C21D9/46 ,  B32B15/011 ,  C21D8/0205 ,  C21D8/0236 ,  C22C38/02 ,  C22C38/04 ,  C22C38/06 ,  C21D2211/001 ,  C21D2211/002 ,  C21D2211/005 ,  C21D2211/008

Abstract: A gradient steel includes a first layer, a second layer near a first surface of the first layer, and a third layer near a second surface of the first layer. The first layer includes a first ferrite phase volume. The second and third layers include a second ferrite phase volume greater than the first ferrite phase volume. The gradient steel may also include a fourth layer near the second layer and a fifth layer near the third layer. The fourth and fifth layers may each include a third ferrite phase volume greater than the second ferrite phase volume. The gradient steel may also include a sixth layer near the fourth layer and a seventh layer near the fifth layer. The sixth and seventh layers may each include a fourth ferrite phase volume greater than the third ferrite phase volume.

公开(公告)号：US20250044181A1

公开(公告)日：2025-02-06

申请号：US18364731

申请日：2023-08-03

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Hassan GHASSEMI-ARMAKI ,  Ranajit Ghosh ,  Junjie Ma ,  Robin James ,  Blair E. Carlson

IPC: G01M3/38

Abstract: A leak detection system for a battery enclosure for one of a rechargeable energy storage system, a battery cell, a battery module, and/or a battery pack includes a gas delivery system configured to selectively provide a trace gas to the battery enclosure. A first optical gas imaging sensor is configured to generate images of a surface of the battery enclosure after the gas delivery system charges the battery enclosure with trace gas. The images are used to selectively detect a gas cloud adjacent to the surface of the of the battery enclosure. The gas cloud is used to determine a location of a gas leak on the surface of the battery enclosure.

公开(公告)号：US20240027421A1

公开(公告)日：2024-01-25

申请号：US17872222

申请日：2022-07-25

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Hassan GHASSEMI-ARMAKI ,  Blair E. CARLSON ,  Zhenke TENG ,  Jason M. BROWN

IPC: G01N33/207 ,  G01N27/90 ,  G01N23/223 ,  G01N33/208 ,  G06V10/74 ,  G06T7/00

CPC classification number: G01N33/207 ,  G01N27/90 ,  G01N23/223 ,  G01N33/208 ,  G06V10/74 ,  G06T7/001 ,  G06T2207/10116 ,  G06T2207/10064 ,  G06T2207/30136

Abstract: A method for inspecting a component made of press-hardening steel prior to resistance spot welding of the component includes performing non-destructive testing of the component made of press-hardening steel after hot stamping to determine a plurality of characteristics for the component. The non-destructive testing comprises at least one of image processing, electromagnetic analysis, and elemental analysis of the component. The method includes using a model correlating values of the characteristics to acceptable weld quality or rejected weld quality and predicting acceptable weld quality or rejected weld quality of the component prior to resistance spot welding of the component; resistance spot welding the component if the model predicts acceptable weld quality; and not resistance spot welding the component if the model predicts rejected weld quality.

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.