Universal scaling laws of keyhole stability and porosity in 3D printing of metals
Author
Abstract
Suggested Citation
DOI: 10.1038/s41467-021-22704-0
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Shivam Gupta & Sachin Modgil & Piera Centobelli & Roberto Cerchione & Serena Strazzullo, 2022. "Additive Manufacturing and Green Information Systems as Technological Capabilities for Firm Performance," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 515-534, December.
- Milad Hamidi Nasab & Giulio Masinelli & Charlotte Formanoir & Lucas Schlenger & Steven Petegem & Reza Esmaeilzadeh & Kilian Wasmer & Ashish Ganvir & Antti Salminen & Florian Aymanns & Federica Marone , 2023. "Harmonizing sound and light: X-ray imaging unveils acoustic signatures of stochastic inter-regime instabilities during laser melting," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
- Zen-Hao Lai & Siguang Xu & Samuel J. Clark & Kamel Fezzaa & Jingjing Li, 2024. "Unveiling mechanisms and onset threshold of humping in high-speed laser welding," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
- Yuze Huang & Tristan G. Fleming & Samuel J. Clark & Sebastian Marussi & Kamel Fezzaa & Jeyan Thiyagalingam & Chu Lun Alex Leung & Peter D. Lee, 2022. "Keyhole fluctuation and pore formation mechanisms during laser powder bed fusion additive manufacturing," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- Kai Zhang & Yunhui Chen & Sebastian Marussi & Xianqiang Fan & Maureen Fitzpatrick & Shishira Bhagavath & Marta Majkut & Bratislav Lukic & Kudakwashe Jakata & Alexander Rack & Martyn A. Jones & Junji S, 2024. "Pore evolution mechanisms during directed energy deposition additive manufacturing," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
- Wu, Jianzhao & Zhang, Chaoyong & Giam, Amanda & Chia, Hou Yi & Cao, Huajun & Ge, Wenjun & Yan, Wentao, 2024. "Physics-assisted transfer learning metamodels to predict bead geometry and carbon emission in laser butt welding," Applied Energy, Elsevier, vol. 359(C).
- Deyuan Ma & Ping Jiang & Leshi Shu & Zhaoliang Gong & Yilin Wang & Shaoning Geng, 2024. "Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 55-73, January.
- Xiaoyu Xie & Arash Samaei & Jiachen Guo & Wing Kam Liu & Zhengtao Gan, 2022. "Data-driven discovery of dimensionless numbers and governing laws from scarce measurements," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22704-0. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.