采用有限元分析和田口实验设计对聚乳酸骨组织修复支架进行力学分析及敏感性评价。

Acta of bioengineering and biomechanics Pub Date : 2025-06-16 Print Date: 2025-03-01 DOI:10.37190/abb-02572-2024-03
Diego Vásquez, Luis Medina, Gabriela Martínez
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引用次数: 0

摘要

目的:三维骨再生支架的设计在平衡机械强度、孔隙度和可降解性方面提出了挑战。本研究旨在优化3D打印制备的聚乳酸(PLA)支架的几何参数,重点关注孔径、孔隙率和几何构型,以提高力学性能和生物功能。方法:采用正交和偏置正交两种几何构型,孔径为400-1000µm,孔隙率为55-70%。采用ANSYS Workbench中的有限元分析(FEA)进行力学行为模拟,采用田口试验设计确定了最优参数组合。统计分析,包括方差分析,评估每个因素的显著性。结果:该研究确定了400µm的孔隙大小是结构强度的最佳选择,而70%的孔隙度提供了稳定性和细胞生长之间的平衡。与偏置结构相比,正交几何结构更均匀地分布应力,降低了临界应力集中。方差分析显示,孔隙大小是最显著的影响因素,其次是孔隙度和几何形状,模型信度r2 = 98.42%。结论:研究结果强调了几何优化对于改善支架力学性能同时保持生物功能的重要性。这项研究为设计适合骨组织工程应用的患者特异性支架提供了一个强大的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mechanical analysis and sensitivity evaluation of PLA scaffolds for bone tissue repair using FEA and Taguchi experimental design.

Purpose: The design of three-dimensional scaffolds for bone regeneration poses challenges in balancing mechanical strength, porosity and degradability. This study aimed to optimize the geometric parameters of polylactic acid (PLA) scaffolds fabricated via 3D printing, focusing on pore size, porosity, and geometric configurations to enhance mechanical performance and biological functionality. Methods: Two geometric configurations - orthogonal and offset orthogonal - were evaluated with pore sizes ranging from 400-1000 µm and porosities between 55-70%. Finite element analysis (FEA) in ANSYS Workbench was used to simulate mechanical behavior, while the Taguchi experimental design determined the optimal parameter combinations. Statistical analyses, including ANOVA, assessed the significance of each factor. Results: The study identified a pore size of 400 µm as optimal for structural strength, while a porosity of 70% provided a balance between stability and cell growth. Orthogonal geometries distributed stress more uniformly, reducing critical stress concentrations compared to offset configurations. ANOVA revealed that pore size was the most significant factor, followed by porosity and geometry, achieving a model reliability of R 2 = 98.42%. Conclusions: The findings highlight the importance of geometric optimization for improving scaffold mechanical properties while maintaining biological functionality. This study offers a robust framework for designing patient-specific scaffolds tailored to bone tissue engineering applications.

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