2016
DOI: 10.1016/j.jmbbm.2015.08.032
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Thickness optimization of auricular silicone scaffold based on finite element analysis

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Cited by 6 publications
(4 citation statements)
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“…The study illustrated the optimal predictions of mechanical behaviour of porous structures when subjected to peripheral loading [29]. Jiang et al [30] constructed a 3D model of an auricle silicone scaffold to optimise the thickness and hardness. The results successfully validated the data taken from computed tomography scans.…”
Section: Introductionmentioning
confidence: 95%
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“…The study illustrated the optimal predictions of mechanical behaviour of porous structures when subjected to peripheral loading [29]. Jiang et al [30] constructed a 3D model of an auricle silicone scaffold to optimise the thickness and hardness. The results successfully validated the data taken from computed tomography scans.…”
Section: Introductionmentioning
confidence: 95%
“…The results successfully validated the data taken from computed tomography scans. The auricle silicone scaffold displayed sufficient intensity and hardness to resist deformation [30]. Blázquez-Carmona et al [31] designed a patient-specific ceramic scaffold model for bone regeneration.…”
Section: Introductionmentioning
confidence: 99%
“…Structural Parameters e combination of structural dimension parameters plays a key role in the motion and dynamic characteristics of the pneumatic soft-bodied bionic basic execution unit. To shorten the experimental research period and reduce experimental cost, the optimal combination of structural parameters is studied based on the response surface analysis method [30][31][32][33][34] and numerical simulation algorithm [35][36][37][38]. According to the design principle of the Box-Behnken central composite experiment, the maximum bending angle Φ is used for determining the optimum extraction process.…”
Section: Optimal Combination Ofmentioning
confidence: 99%
“…In auricular plasty, Miyamoto and Nagasao et al evaluated the diverse otoplasties in the prominent ear with FE methods to advance insights into this field and give a suggestion with a better surgical protocol ( Miyamoto et al, 2009 ; Nagasao et al, 2014 ). Jiang et al researched the thickness parameter of the auricular silicone scaffold with FEA that finally obtained an optimized thickness with sufficient intensity and hardness ( Jiang et al, 2016 ). Therefore, it is feasible to develop an FE-based shape optimization to determine the mechanical behavior of the skin and the optimum auricular structure.…”
Section: Introductionmentioning
confidence: 99%