MetalMind: A knowledge graph-driven human-centric knowledge system for metal additive manufacturing
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | NPJ Advanced Manufacturing vol. 2, no. 1 (Dec 2025), p. 25 |
|---|---|
| Prif Awdur: | |
| Awduron Eraill: | , , , , , , |
| Cyhoeddwyd: |
Nature Publishing Group
|
| Pynciau: | |
| Mynediad Ar-lein: | Citation/Abstract Full Text Full Text - PDF |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3225848779 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 3004-8621 | ||
| 024 | 7 | |a 10.1038/s44334-025-00038-9 |2 doi | |
| 035 | |a 3225848779 | ||
| 045 | 2 | |b d20251201 |b d20251231 | |
| 100 | 1 | |a Fan, Haolin |u California State University Northridge, Autonomy Research Center for STEAHM (ARCS), Northridge, USA (GRID:grid.253563.4) (ISNI:0000 0001 0657 9381); National University of Singapore, Department of Mechanical Engineering, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431) | |
| 245 | 1 | |a MetalMind: A knowledge graph-driven human-centric knowledge system for metal additive manufacturing | |
| 260 | |b Nature Publishing Group |c Dec 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a In the Industry 5.0 era, increasing manufacturing complexity and fragmented knowledge pose challenges for decision-making and workforce development. To tackle this, we present a human-centric knowledge system that integrates explicit knowledge from formal sources and implicit knowledge from expert insights. The system features three core innovations: (1) an automated KG construction pipeline leveraging large language models (LLMs) with collaborative verification to enhance knowledge extraction accuracy and minimize hallucinations; (2) a hybrid retrieval framework that combines vector-based, graph-based, and hybrid retrieval strategies for comprehensive knowledge access, achieving a 336.61% improvement over vector-based retrieval and a 68.04% improvement over graph-based retrieval in global understanding; and (3) an MR-enhanced interface that supports immersive, real-time interaction and continuous knowledge capture. Demonstrated through a metal additive manufacturing (AM) case study, this approach enriches domain expertise, improves knowledge representation and retrieval, and fosters enhanced human-machine collaboration, ultimately supporting adaptive upskilling in smart manufacturing. | |
| 653 | |a Construction | ||
| 653 | |a Accuracy | ||
| 653 | |a Technological change | ||
| 653 | |a Datasets | ||
| 653 | |a Collaboration | ||
| 653 | |a Large language models | ||
| 653 | |a Image retrieval | ||
| 653 | |a Retrieval | ||
| 653 | |a Knowledge management | ||
| 653 | |a Explicit knowledge | ||
| 653 | |a Natural language processing | ||
| 653 | |a Automation | ||
| 653 | |a Manufacturing | ||
| 653 | |a Real time | ||
| 653 | |a Performance evaluation | ||
| 653 | |a Knowledge representation | ||
| 653 | |a Additive manufacturing | ||
| 653 | |a Efficiency | ||
| 700 | 1 | |a Fan, Zhen |u National University of Singapore, Department of Mechanical Engineering, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431) | |
| 700 | 1 | |a Liu, Chenshu |u California State University Northridge, Autonomy Research Center for STEAHM (ARCS), Northridge, USA (GRID:grid.253563.4) (ISNI:0000 0001 0657 9381) | |
| 700 | 1 | |a Zhu, Jianhao |u California State University Northridge, Autonomy Research Center for STEAHM (ARCS), Northridge, USA (GRID:grid.253563.4) (ISNI:0000 0001 0657 9381) | |
| 700 | 1 | |a Gibbs, Tom |u Nvidia Inc, Santa Clara, USA (GRID:grid.451133.1) (ISNI:0000 0004 0458 4453) | |
| 700 | 1 | |a Fuh, Jerry Ying Hsi |u National University of Singapore, Department of Mechanical Engineering, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431) | |
| 700 | 1 | |a Lu, Wen Feng |u National University of Singapore, Department of Mechanical Engineering, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431) | |
| 700 | 1 | |a Li, Bingbing |u California State University Northridge, Autonomy Research Center for STEAHM (ARCS), Northridge, USA (GRID:grid.253563.4) (ISNI:0000 0001 0657 9381); University of California Los Angeles, Department of Mechanical and Aerospace Engineering, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0001 2167 8097) | |
| 773 | 0 | |t NPJ Advanced Manufacturing |g vol. 2, no. 1 (Dec 2025), p. 25 | |
| 786 | 0 | |d ProQuest |t Materials Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3225848779/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3225848779/fulltext/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3225848779/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |