Ultrasound characterization of bioinspired functionally graded soft-to-hard composites: Experiment and modeling
| العنوان: | Ultrasound characterization of bioinspired functionally graded soft-to-hard composites: Experiment and modeling |
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| المؤلفون: | Ali Aghaei, Nicolas Bochud, Giuseppe Rosi, Quentin Grossman, Davide Ruffoni, Salah Naili |
| المساهمون: | Laboratoire Modélisation et Simulation Multi-Echelle (MSME), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel, Université de Liège |
| المصدر: | Journal of the Acoustical Society of America Journal of the Acoustical Society of America, Acoustical Society of America, 2022, 151 (3), pp.1490-1501. ⟨10.1121/10.0009630⟩ |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | [SPI]Engineering Sciences [physics], Acoustics and Ultrasonics, Arts and Humanities (miscellaneous), Bone and Bones, Ultrasonography |
| الوصف: | International audience; Functional grading is a distinctive feature adopted by nature to improve the transition between tissues that present a strong mismatch in mechanical properties, a relevant example being the tendon-to-bone attachment. Recent progress in multi-material additive manufacturing now allows for the design and fabrication of bioinspired functionally graded soft-to-hard composites. Nevertheless, this emerging technology depends on several design variables, including both material and mechanistic ingredients, that are likely to affect the mechanical performance of such composites. In this paper, a model-based approach is developed to describe the interaction of ultrasound waves with homogeneous and heterogeneous additively manufactured samples, which respectively display a variation either of the material ingredients (e.g., ratio of the elementary constituents) or of their spatial arrangement (e.g., functional gradients, damage). Measurements are performed using longitudinal bulk waves, which are launched and detected using a linear transducer array. First, model is calibrated by exploiting the signals measured on the homogeneous samples, which allow identifying relationships between the model parameters and the material composition. Second, the model is validated by comparing the signals measured on the heterogeneous samples with those predicted numerically. Overall, the reported results pave the way for characterizing and optimizing multi-material systems that display complex bioinspired features. |
| تدمد: | 1520-8524 0001-4966 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb0c35d5b463100147d789d4791da571 https://pubmed.ncbi.nlm.nih.gov/35364905 |
| رقم الأكسشن: | edsair.doi.dedup.....cb0c35d5b463100147d789d4791da571 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Scitation. | تدمد: | 15208524 00014966 |
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