Chiral petal honeycomb metamaterial structures: Biomimetic design and application in vascular stents

IF 6 2区 医学 Q2 MATERIALS SCIENCE, BIOMATERIALS
Junhua Zhang , Wen Geng , Minghui Yao
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引用次数: 0

Abstract

Auxetic structure has a very good application prospect in biomedical engineering as implant and stent design, but this scenario faces the difficulty of synergistic optimization of multiple performance indexes. This paper aims to break through this dilemma through innovative design concepts and methods. The study integrates bio-morphology and engineering biomimicry to design a chiral petal-type honeycomb structure by extracting the cross symmetry of cruciferous plant petals and the mechanical properties of wind turbine blades. The whole process framework of “bio-morphological feature extraction-parametric modeling -- multi-objective optimization -- application” is constructed. The neural network model is used to carry out multi-objective prediction, parameter sensitivity analysis, and structure optimization with the help of differential evolutionary algorithm. It is found that the designed structure greatly improves the adjustable range of negative Poisson's ratio, and at the same time, a smaller value of the chiral parameter la4 can make the structure improve the load carrying capacity in the elastic phase. Simulation of the balloon-expandable stent-vessel coupling process shows that the chiral petal-type cellular stent has outstanding advantages in reducing the stenosis rate maintaining the structural stability and dispersing the stress in the vessel wall among the three cellular structures. This study provides innovative technological solutions for medical device design, and is expected to promote the translation of metamaterial honeycomb structures from theoretical research to practical applications in the field of biomedical engineering, pointing out the direction of focusing on the optimization of key parameters and expanding the clinical applications for subsequent studies.
手性花瓣蜂窝超材料结构:仿生设计及其在血管支架中的应用
辅助结构在生物医学工程中作为植入物和支架设计具有很好的应用前景,但该场景面临多个性能指标协同优化的难题。本文旨在通过创新的设计理念和方法来突破这一困境。本研究将生物形态学和工程仿生学相结合,通过提取十字花科植物花瓣的交叉对称性和风力发电机叶片的力学特性,设计了手性花瓣型蜂窝结构。构建了“生物形态特征提取-参数化建模-多目标优化-应用”的全过程框架。利用神经网络模型进行多目标预测、参数灵敏度分析,并借助差分进化算法进行结构优化。研究发现,所设计的结构大大提高了负泊松比的可调范围,同时,较小的手性参数la4值可以使结构在弹性阶段提高承载能力。对球囊-可膨胀支架-血管耦合过程的仿真表明,手性花瓣型细胞支架在降低狭窄率、保持结构稳定性和分散血管壁应力等方面具有突出的优势。本研究为医疗器械设计提供了创新的技术解决方案,有望推动超材料蜂窝结构在生物医学工程领域从理论研究向实际应用的转化,为后续研究指明重点优化关键参数、拓展临床应用的方向。
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来源期刊
CiteScore
17.80
自引率
0.00%
发文量
501
审稿时长
27 days
期刊介绍: Biomaterials Advances, previously known as Materials Science and Engineering: C-Materials for Biological Applications (P-ISSN: 0928-4931, E-ISSN: 1873-0191). Includes topics at the interface of the biomedical sciences and materials engineering. These topics include: • Bioinspired and biomimetic materials for medical applications • Materials of biological origin for medical applications • Materials for "active" medical applications • Self-assembling and self-healing materials for medical applications • "Smart" (i.e., stimulus-response) materials for medical applications • Ceramic, metallic, polymeric, and composite materials for medical applications • Materials for in vivo sensing • Materials for in vivo imaging • Materials for delivery of pharmacologic agents and vaccines • Novel approaches for characterizing and modeling materials for medical applications Manuscripts on biological topics without a materials science component, or manuscripts on materials science without biological applications, will not be considered for publication in Materials Science and Engineering C. New submissions are first assessed for language, scope and originality (plagiarism check) and can be desk rejected before review if they need English language improvements, are out of scope or present excessive duplication with published sources. Biomaterials Advances sits within Elsevier''s biomaterials science portfolio alongside Biomaterials, Materials Today Bio and Biomaterials and Biosystems. As part of the broader Materials Today family, Biomaterials Advances offers authors rigorous peer review, rapid decisions, and high visibility. We look forward to receiving your submissions!
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