Dunne Reese A, Dickel Doyl E, Green Addison M, Kim Dam, Priddy Lauren B, Priddy Matthew W
Michael W. Hall School of Mechanical Engineering, Mississippi State University, Mississippi State, Mississippi, USA.
Department of Computer Science and Engineering, Mississippi State University, Mississippi State, Mississippi, USA.
J Biomed Mater Res B Appl Biomater. 2024 Dec;112(12):e35519. doi: 10.1002/jbm.b.35519.
The emergence of degradable orthopedic implants for fracture fixation may abrogate the need for implant removal surgery and minimize pain associated with permanent implants. Magnesium (Mg) and its alloys are being explored as a biomaterial for degradable implants due to mechanical properties similar to those of bone. Previous in vitro studies have determined the degradation rate of pure Mg to be relatively fast when compared to bone regeneration. Hydroxyapatite (HA), the mineral component of bone, may serve as a surface coating on Mg-based implants to effectively slow and control the degradation rate. The objective of this work was to develop and implement a finite element (FE) model that utilizes a damage evolution law for pitting corrosion to predict the degradation of pure Mg (non-coated) and HA-coated pure Mg (coated) materials simulated in physiological conditions. Finite element analysis (FEA) was performed on a cylindrical Mg specimen (25.4 mm diameter, 8 mm height) through Abaqus/Standard software to incrementally monitor the damage value of each Mg element and subsequently delete fully-degraded elements from the simulation. A Fortran user-material (UMAT) subroutine assigned each element a pitting parameter, controlling the rate of degradation throughout the simulation and providing necessary inputs of elastic material properties and degradation model parameters for pure Mg and HA into Abaqus. The simulations allowed for the visualization of both pure Mg and HA-coated pure Mg degradation over a 120-day period, displaying expected degradation trends such as lower corrosion rates for HA-coated Mg and degradation propagating from the edges inward. Simulation results were calibrated with our prior results from a 30-day experimental degradation study via direct comparison with mass loss over time. Additionally, lower length scale, density functional theory (DFT) simulations were performed to provide physical meaning for the model pitting parameter. The FE simulation was extended to model resin-enclosed pure Mg and HA-coated pure Mg degradation, where only the top surface of the specimen was exposed to the corrosion surface, for investigating changes in Mg surface roughness (height) over time. The impacts of this work include the establishment of a computational model of pure Mg and HA-coated pure Mg degradation calibrated using in vitro degradation data to advance the use of Mg-based biomaterials, and more broadly, to predict degradation rates of next-generation orthopedic implants.
用于骨折固定的可降解骨科植入物的出现,可能不再需要进行植入物取出手术,并将与永久性植入物相关的疼痛降至最低。镁(Mg)及其合金由于其机械性能与骨骼相似,正被探索用作可降解植入物的生物材料。先前的体外研究已确定,与骨再生相比,纯镁的降解速度相对较快。羟基磷灰石(HA)作为骨骼的矿物质成分,可作为镁基植入物的表面涂层,以有效减缓并控制降解速度。本研究的目的是开发并实施一种有限元(FE)模型,该模型利用点蚀的损伤演化定律来预测在生理条件下模拟的纯镁(未涂层)和HA涂层纯镁(涂层)材料的降解情况。通过Abaqus/Standard软件对圆柱形镁试样(直径25.4毫米,高8毫米)进行有限元分析(FEA),以逐步监测每个镁元素的损伤值,并随后从模拟中删除完全降解的元素。一个Fortran用户材料(UMAT)子程序为每个元素分配一个点蚀参数,在整个模拟过程中控制降解速率,并为Abaqus提供纯镁和HA的弹性材料属性及降解模型参数的必要输入。这些模拟能够可视化纯镁和HA涂层纯镁在120天内的降解情况,显示出预期的降解趋势,如HA涂层镁的腐蚀速率较低以及降解从边缘向内传播。通过与随时间的质量损失进行直接比较,将模拟结果与我们先前30天实验降解研究的结果进行校准。此外,还进行了较低长度尺度的密度泛函理论(DFT)模拟,以赋予模型点蚀参数物理意义。有限元模拟被扩展到对树脂封装的纯镁和HA涂层纯镁降解进行建模,其中仅试样的顶面暴露于腐蚀表面,用于研究镁表面粗糙度(高度)随时间的变化。这项工作的影响包括建立一个使用体外降解数据校准的纯镁和HA涂层纯镁降解的计算模型,以推进镁基生物材料的应用,更广泛地说,用于预测下一代骨科植入物的降解速率。