Embedded multilayer strain architectures create self-sensing multifunctional titanium in additive manufacturing

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

Metadata

Item Type: Article
Authors/Creators:
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:
  • Accepted: 18 August 2026
  • Published (online): 9 September 2026
  • Published: 9 September 2026
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):

Export

Statistics