Stress-Softening and Residual Strain Effects in Suture Materials

Elı́as-Zúñiga, Alex; Montoya, Beatriz; Ortega-Lara, Wendy; Flores‐Villalba, Eduardo; Rodrı́guez, Ciro A.; Siller, Héctor R.; Díaz-Elizondo, José A.; Martínez-Romero, Óscar

doi:10.1155/2013/249512

Cited by 9 publications

(10 citation statements)

References 24 publications

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“…As we can see from Figures 4 and 5 , the predicted stress-stretch curves computed from Equations (19) (solid black lines) and Equation (26) (red solid lines), to characterize the mechanical response of both suture material samples, describe the qualitative and quantitative behavior exhibited by the experimental data well (blue dots). In fact, our theoretical predictions are close to those reported in Figures 7 and 9 (dashed purple lines) of [ 20 ] in which an amended isotropic, hyperelastic non-Gaussian Arruda–Boyce material model was used. The material constants used to best fit the experimental data are listed in Table 1 .…”

Section: Models Comparison With Experimental Datasupporting

confidence: 85%

“…To further assess the accuracy of our proposed equivalent energy material model, we now use cyclic loading-unloading uniaxial stress-stretch data from poly(glycolide-co-caprolactone) (PGC25 3-0) and polypropylene suture material samples collected from an Instron tensile machine model 3365 with a maximum cell load capacity of 1.6 kN [ 20 ]. As we can see from Figures 4 and 5 , the predicted stress-stretch curves computed from Equations (19) (solid black lines) and Equation (26) (red solid lines), to characterize the mechanical response of both suture material samples, describe the qualitative and quantitative behavior exhibited by the experimental data well (blue dots).…”

Section: Models Comparison With Experimental Datamentioning

confidence: 99%

See 1 more Smart Citation

On the Rule of Mixtures for Predicting Stress-Softening and Residual Strain Effects in Biological Tissues and Biocompatible Materials

et al. 2014

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In this work, we use the rule of mixtures to develop an equivalent material model in which the total strain energy density is split into the isotropic part related to the matrix component and the anisotropic energy contribution related to the fiber effects. For the isotropic energy part, we select the amended non-Gaussian strain energy density model, while the energy fiber effects are added by considering the equivalent anisotropic volumetric fraction contribution, as well as the isotropized representation form of the eight-chain energy model that accounts for the material anisotropic effects. Furthermore, our proposed material model uses a phenomenological non-monotonous softening function that predicts stress softening effects and has an energy term, derived from the pseudo-elasticity theory, that accounts for residual strain deformations. The model’s theoretical predictions are compared with experimental data collected from human vaginal tissues, mice skin, poly(glycolide-co-caprolactone) (PGC25 3-0) and polypropylene suture materials and tracheal and brain human tissues. In all cases examined here, our equivalent material model closely follows stress-softening and residual strain effects exhibited by experimental data.

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Section: Models Comparison With Experimental Datasupporting

confidence: 85%

Section: Models Comparison With Experimental Datamentioning

confidence: 99%

On the Rule of Mixtures for Predicting Stress-Softening and Residual Strain Effects in Biological Tissues and Biocompatible Materials

et al. 2014

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“…To further support the proposed model, in A we successfully reproduce the cyclic behavior of different absorbable sutures by introducing a further parameter for the internal hysteresis. The resulting model exhibits significant improvements, as compared with previous models in the literature [8,9] in the prediction of the sutures experimental behavior under cyclic loading.…”

Section: Introductionmentioning

confidence: 74%

A predictive microstructure-based approach for the anisotropic damage, residual stretches and hysteresis in biodegradable sutures

Vitucci¹,

Tommasi²,

Puglisi³

et al. 2022

Preprint

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We propose a predictive model for the mechanical behavior of biodegradable polymers of interest for biomedical applications. Starting from a detailed description of the network behavior of the copolymer material, taking care of bonds breaking and recrosslinking effects, folded-unfolded transitions and network topological constraints, we deduce a macroscopic law for the complex mechanical behavior of many biomedical materials with a particular focus on absorbable suture threads and a perspective to new material design. A crucial novelty of the model is the careful description of the observed microscopic anisotropic damage induced by the deformation, here described based on the classical microsphere integration approach. The resulting energy, characterized by a few number of material parameters, with physically clear interpretation, is successfully adopted to predict our cyclic experiments on poliglecaprone sutures with anisotropic damage, permanent stretch and internal hysteresis. By also studying other suture materials behavior we show that the predictivity properties of the model can be extended also to materials with a different mechanical response and thus also possibly applied for the design of new, high-performance biomedical materials.

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“…This residual strain is usually attributed to microstructural material damages due to deformation compared to the undistorted state of the virgin material. [ 15 ]…”

Section: Resultsmentioning

confidence: 99%

3D Printing with Flexible Materials – Mechanical Properties and Material Fatigue

Cakar

Ehrmann

2021

Macromolecular Symposia

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3D printed objects are nowadays not only used in prototyping, but also in small‐scale production down to lot‐size 1. While different 3D printing techniques can be applied for this purpose, a large amount of products is prepared by the simple and inexpensive fused deposition modeling (FDM) technique, applying a polymer which is molten, pressed through a nozzle, and deposited layer‐by‐layer on a printing bed and on the previous layers, respectively. This technology, however, has the disadvantage of often insufficient mechanical properties due to the available materials and due to the construction method, which often supports air cavities inside objects, reducing the adhesion between neighboring strands and thus the overall mechanical properties. Such problems can partly be solved by chemical after‐treatments. Here, the authors report on tensile tests and load changes of the soft FDM materials FilaFlex and PLA soft (PLA = polylactic acid) in comparison with common PLA. They also show the different inner structure of objects 3D printed from these materials and their correlation with mechanical properties and material fatigue.

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Stress-Softening and Residual Strain Effects in Suture Materials

Cited by 9 publications

References 24 publications

On the Rule of Mixtures for Predicting Stress-Softening and Residual Strain Effects in Biological Tissues and Biocompatible Materials

On the Rule of Mixtures for Predicting Stress-Softening and Residual Strain Effects in Biological Tissues and Biocompatible Materials

A predictive microstructure-based approach for the anisotropic damage, residual stretches and hysteresis in biodegradable sutures

3D Printing with Flexible Materials – Mechanical Properties and Material Fatigue

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