Bhatt, A., Chen, W., Wu, Z. et al. (9 more authors) (2026) Embedded multilayer strain architectures create self-sensing multifunctional titanium in additive manufacturing. Communications Materials. ISSN: 2662-4443
Abstract
Multifunctional structural metals capable of monitoring their internal mechanical state are increasingly important for aerospace, biomedical, and intelligent manufacturing applications, yet integrating thermally sensitive sensing architectures into high-temperature metal additive manufacturing remains challenging. Here we show that multilayer strain sensing architectures can be embedded directly within Ti-6Al-4V during laser powder bed fusion by combining high-resolution printing of polymer–metal gauges with powder mediated thermal protection. We evaluate four sensor architectures, including commercial foil gauges and directly printed gauges with different dielectric layers, and identify material stacks that survive embedding while retaining electrical functionality. The embedded sensors preserve strain sensing performance under mechanical loading, maintain structural integrity, and exhibit cytocompatibility. These results establish a route to multifunctional titanium with internal sensing capability and provide a materials integration framework for embedding functional devices within additively manufactured metals.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2026. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Manufacturing Engineering; Engineering; Materials Engineering; Electronics, Sensors and Digital Hardware; Generic health relevance |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Chemical, Materials and Biological Engineering |
| Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/P02470X/1 Engineering and Physical Sciences Research Council EP/P006566/1 Engineering and Physical Sciences Research Council EP/S019367/1 UK Research and Innovation EP/V061798/1 Engineering and Physical Sciences Research Council EP/W003333/1 |
| Date Deposited: | 17 Sep 2026 14:06 |
| Last Modified: | 17 Sep 2026 14:06 |
| Status: | Published online |
| Publisher: | Springer Science and Business Media LLC |
| Refereed: | Yes |
| Identification Number: | 10.1038/s43246-026-01346-z |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:245593 |
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