{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:54:12Z","timestamp":1760144052565,"version":"build-2065373602"},"reference-count":46,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,17]],"date-time":"2024-03-17T00:00:00Z","timestamp":1710633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The early detection of small cracks in large metal structures is a crucial requirement for the implementation of a structural health monitoring (SHM) system with a low transducers density. This work tackles the challenging problem of the early detection of submillimeter notch-type defects with a semielliptical shape and a groove at a constant width of 100 \u00b5m and 3 mm depth in a 4.1 mm thick aluminum plate. This defect is investigated with an ultrasonic guided wave (UGW) A0 mode at 550 kHz to investigate the long range in thick metal plates. The mode selection is obtained by interdigital transducers (IDTs) designed to operate with a 5 mm central wavelength. The novel contribution is the validation of the detection by pulse-echo and pitch and catch with UGW transducers to cover a distance up to 70 cm to reduce the transducers density. The analysis of scattering from this submillimeter defect at different orientations is carried out using simulations with a Finite Element Model (FEM). The detection of the defect is obtained by comparing the scattered signals from the defect with baseline signals of the pristine laminate. Finally, the paper shows that the simulated results are in good agreement with the experimental ones, demonstrating the possible implementation in an SHM system based on the efficient propagation of an antisymmetric mode by IDTs.<\/jats:p>","DOI":"10.3390\/s24061926","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T04:25:15Z","timestamp":1710735915000},"page":"1926","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Detection of a Submillimeter Notch-Type Defect at Multiple Orientations by a Lamb Wave A0 Mode at 550 kHz for Long-Range Structural Health Monitoring Applications"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4432-3197","authenticated-orcid":false,"given":"Lorenzo","family":"Capineri","sequence":"first","affiliation":[{"name":"Department of Information Engineering, University of Florence, Via S. Marta 3, 50139 Firenze, Italy"}]},{"given":"Lorenzo","family":"Taddei","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, University of Florence, Via S. Marta 3, 50139 Firenze, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1875-1964","authenticated-orcid":false,"given":"Eugenio","family":"Marino Merlo","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, University of Florence, Via S. Marta 3, 50139 Firenze, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Farrar, C.R., and Worden, K. (2012). Structural Health Monitoring: A Machine Learning Perspective, John Wiley & Sons, Ltd.","DOI":"10.1002\/9781118443118"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Deraemaeker, A., and Worden, K. (2010). 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