Printed Structural Temperature Monitoring Embedded in Multi-Process Hybrid Additive Manufacturing - Journal of Materials Engineering and Performance

Clicks: 342
ID: 269638
2021
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #2 of 8 articles by views in journal of materials engineering and performance

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
A printed and built-in geometry with a capability of detecting temperatures over a wide range are highly sought-after characteristics for a structural health monitoring temperature sensor. In this work, we describe a printable copper-graphene electronic sensor for temperature monitoring with real-time deployment into a printed metal structural component. The smart component is manufactured using a combination of three additive processes: a direct-ink writing, laser powder bed fusion (LPBF), and ultrasonic additive manufacturing (UAM). The sensor is printed on a flexible ceramic substrate, embedded in the stainless steel LPBF component and capped with a UAM aluminum layer. The sensor exhibits a high resistance temperature sensitivity in a wide temperature detection range, with the performance capping at 500°C. These results, and the demonstrated ability to read temperature wirelessly, provide a path for remote structural health monitoring applications for additively manufactured components.
Reference Key
saurabh2021journalprinted Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Khuje, Saurabh;Hehr, Adam;Li, Zheng;Krishnan, Ajay;Kerwin, Lee;Kitt, Alex;Yu, Jian;Ren, Shenqiang;Khuje, Saurabh;Hehr, Adam;Li, Zheng;Krishnan, Ajay;Kerwin, Lee;Kitt, Alex;Yu, Jian;Ren, Shenqiang;
Journal journal of materials engineering and performance
Year 2021
DOI
doi:10.1007/s11665-021-05658-8
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.