{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T21:01:09Z","timestamp":1792184469466,"version":"4.4.0"},"reference-count":21,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T00:00:00Z","timestamp":1781136000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100021130","name":"Federal Ministry for Economic Affairs and Climate Action","doi-asserted-by":"crossref","award":["19I23012F"],"award-info":[{"award-number":["19I23012F"]}],"id":[{"id":"10.13039\/100021130","id-type":"DOI","asserted-by":"crossref"}]},{"award":["19I23012F"],"award-info":[{"award-number":["19I23012F"]}],"id":[{"id":"https:\/\/ror.org\/02vgg2808","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Adhesive joints typically require high safety factors, as their mechanical performance is highly sensitive to environmental and manufacturing variations. Health monitoring can reduce these safety factors by continuously assessing the condition of the joint. While intrinsic and extrinsic sensing approaches exist, they are often based on periodic inspection or manual sensor integration, which limits their suitability for continuous in-service monitoring. This study investigates a novel sensor placement using additively manufactured strain sensors deposited by jet dispensing across the adhesive gap. Tensile lap-shear specimens were fabricated using CFRP (carbon-fiber-reinforced plastic) laminate, an epoxy adhesive, and silver-ink strain sensors placed internally within the joint and externally across the adhesive gap. Mechanical testing revealed that externally printed sensors produced an average resistance change of 65.3% near the failure stress of the adhesive joint, an order of magnitude higher than sensors embedded within the adhesive layer with 6.6% average resistance change. However, the average coefficient of variation increased as well, from 7.6% for internal to 32.6% for external. This sensor response exceeds reported environmentally induced variations in printed sensors and thus represents a promising candidate for condition monitoring. Further work is required to demonstrate actual damage detection capabilities and assess long-term stability under environmental and cyclic loading conditions.<\/jats:p>","DOI":"10.3390\/s26123738","type":"journal-article","created":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T01:52:08Z","timestamp":1781229128000},"page":"3738","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Bridging the Bond: High-Sensitivity External Printed Strain Sensors for Condition Monitoring of Adhesive Joints"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-2074-8023","authenticated-orcid":false,"given":"Valentin Wilhelm","family":"Mauersberger","sequence":"first","affiliation":[{"name":"Fraunhofer Institute for Machine Tools and Forming Technology IWU, N\u00f6thnitzer Stra\u00dfe 44, 01187 Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3023-5447","authenticated-orcid":false,"given":"Bj\u00f6rn","family":"Senf","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Machine Tools and Forming Technology IWU, N\u00f6thnitzer Stra\u00dfe 44, 01187 Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandra","family":"Menzel","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Machine Tools and Forming Technology IWU, N\u00f6thnitzer Stra\u00dfe 44, 01187 Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,6,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Dachev, D., Kazilas, M., Alfano, G., and Omairey, S. 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