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Irarrázaval S, Ramos-Grez JA, Pérez LI, Besa P, Ibáñez A. Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation. SN APPLIED SCIENCES 2021. [DOI: 10.1007/s42452-021-04760-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
AbstractThe finite elements method allied with the computerized axial tomography (CT) is a mathematical modeling technique that allows constructing computational models for bone specimens from CT data. The objective of this work was to compare the experimental biomechanical behavior by three-point bending tests of porcine femur specimens with different types of computational models generated through the finite elements’ method and a multiple density materials assignation scheme. Using five femur specimens, 25 scenarios were created with differing quantities of materials. This latter was applied to computational models and in bone specimens subjected to failure. Among the three main highlights found, first, the results evidenced high precision in predicting experimental reaction force versus displacement in the models with larger number of assigned materials, with maximal results being an R2 of 0.99 and a minimum root-mean-square error of 3.29%. Secondly, measured and computed elastic stiffness values follow same trend with regard to specimen mass, and the latter underestimates stiffness values a 6% in average. Third and final highlight, this model can precisely and non-invasively assess bone tissue mechanical resistance based on subject-specific CT data, particularly if specimen deformation values at fracture are considered as part of the assessment procedure.
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Di Giamberardino P, Bagolini A, Bellutti P, Rudas IJ, Verotti M, Botta F, Belfiore NP. New MEMS Tweezers for the Viscoelastic Characterization of Soft Materials at the Microscale. MICROMACHINES 2017; 9:E15. [PMID: 30393290 PMCID: PMC6187331 DOI: 10.3390/mi9010015] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 12/17/2017] [Accepted: 12/27/2017] [Indexed: 01/07/2023]
Abstract
As many studies show, there is a relation between the tissue's mechanical characteristics and some specific diseases. Knowing this relationship would help early diagnosis or microsurgery. In this paper, a new method for measuring the viscoelastic properties of soft materials at the microscale is proposed. This approach is based on the adoption of a microsystem whose mechanical structure can be reduced to a compliant four bar linkage where the connecting rod is substituted by the tissue sample. A procedure to identify both stiffness and damping coefficients of the tissue is then applied to the developed hardware. Particularly, stiffness is calculated solving the static equations of the mechanism in a desired configuration, while the damping coefficient is inferred from the dynamic equations, which are written under the hypothesis that the sample tissue is excited by a variable compression force characterized by a suitable wave form. The whole procedure is implemented by making use of a control system.
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Affiliation(s)
- Paolo Di Giamberardino
- Department of Computer, Control, and Management Engineering Antonio Ruberti, University of Rome La Sapienza, Via Ariosto 25, I-00185 Roma, Italy.
| | - Alvise Bagolini
- MNF - Micro nano fabrication and characterization Facility, Fondazione Bruno Kessler (FBK), Via Sommarive 18, I-38123 Trento, Italy.
| | - Pierluigi Bellutti
- MNF - Micro nano fabrication and characterization Facility, Fondazione Bruno Kessler (FBK), Via Sommarive 18, I-38123 Trento, Italy.
| | - Imre J Rudas
- Head of Steering Committee of University Research and Innovation Center, Óbuda University, 96/b Becsi ut, H-1034 Budapest, Hungary.
| | - Matteo Verotti
- Department of Industrial Engineering, University of Trento, via Sommarive, 9-38123 Trento, Italy.
- ProM Facility, Trentino Sviluppo S.p.A., Via Zeni Fortunato, 8, 38068 Rovereto, Italy.
| | - Fabio Botta
- Department of Engineering, Universita degli Studi Roma Tre, via della Vasca Navale 79, 00146 Roma, Italy.
| | - Nicola P Belfiore
- Department of Engineering, Universita degli Studi Roma Tre, via della Vasca Navale 79, 00146 Roma, Italy.
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