Experimental and Numerical Investigation of Short-Term Bio-Degradation Behavior of 3D Printed PLA

IF 1 Q4 ENGINEERING, MANUFACTURING Journal of Micro and Nano-Manufacturing Pub Date : 2022-06-27 DOI:10.1115/msec2022-80573
R. Ilhan, Safa Şenaysoy, H. Lekesiz
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Abstract

There has been an increasing interest for biodegradable polymers in recent years because they can be formed as scaffolds and safely removed from the body without the need for any surgical operation, and contribute to the healing process. However, the main problem in polymer-based biodegradable materials is the inability to obtain tunable biodegradation behavior to match healing, which limits the clinical feasibility of these biomaterials. In this study, it is aimed to model biodegradation behavior from short term experimental data in an effort to reduce time required for determination of bio-degradation parameters. Thus, the degradation behavior can be determined and controlled at a lower cost. In this context, the biodegradation behavior of poly-lactic acid (PLA) polymer which is widely used in biomedical applications, was investigated experimentally and numerically on different days related to fracture bone healing times (5–12 weeks). First, 4.5 mm × 4.5 mm × 4.5 mm cubes were printed using the fused deposition modelling (FDM). Then, printed samples were exposed to degradation in the incubator by immersion in phosphate buffered saline (PBS) solution at 37 °C at physiological conditions for different time periods (0, 15, 30, 61 and 90 days). Throughout degradation, water absorption, weight loss, mechanical properties and morphological changes were investigated. Water absorption increases up to 13% within 61 days and then decreases to 10% within 90 days. On the other hand, samples gain 1% weight for the first 15 days and following, start losing weight around 0.3% percent at the end of 90 days. This clearly indicates that degradation occurs and water replaces the degraded material. There are fluctuations in the stiffness values that decrease on the 15 and 61 days but they increase on the 30th and 90th days. The increases in stiffness can be attributed to the compressive resistance of the trapped water content. Microscopic investigation clearly verifies the water content that the colors of the samples (opacity increase) changed while no significant change in its size occurred at different degradation days. Experimental results indicate a degradation and mechanical behavior variation throughout the process while dimensional stability during the 90 day degradation period. Numerical model predicts the stiffness values reasonably well within 15 and 30 days of degradation, but differences for 61 and 90 days. This difference possibly stems from the fact that the numerical model does not include any water inclusion disturbance.
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3D打印聚乳酸短期生物降解行为的实验与数值研究
近年来,人们对生物可降解聚合物越来越感兴趣,因为它们可以作为支架形成,并且无需任何外科手术就可以安全地从体内移除,并且有助于愈合过程。然而,聚合物基生物可降解材料的主要问题是无法获得可调节的生物降解行为来匹配愈合,这限制了这些生物材料的临床可行性。在本研究中,旨在通过短期实验数据模拟生物降解行为,以减少确定生物降解参数所需的时间。因此,可以以较低的成本确定和控制降解行为。在此背景下,实验和数值研究了广泛应用于生物医学领域的聚乳酸(PLA)聚合物在与骨折愈合时间(5-12周)相关的不同天数的生物降解行为。首先,使用熔融沉积建模(FDM)打印4.5 mm × 4.5 mm × 4.5 mm的立方体。然后,在37°C的生理条件下,将打印的样品浸泡在磷酸盐缓冲盐水(PBS)溶液中,在培养箱中降解不同的时间(0、15、30、61和90天)。在整个降解过程中,研究了吸水率、失重率、力学性能和形态变化。吸水率在61天内上升至13%,90天内下降至10%。另一方面,样品在前15天体重增加1%,之后在90天结束时体重开始下降0.3%左右。这清楚地表明降解发生了,水取代了被降解的物质。刚度值的波动在第15和61天减小,但在第30和90天增大。刚度的增加可归因于截留含水量的抗压性。显微镜观察清楚地证实了在不同降解天数,样品的含水量发生了颜色(不透明度增加)的变化,而其大小没有明显变化。实验结果表明,在整个降解过程中存在降解和力学行为变化,而在90天的降解期内存在尺寸稳定性。数值模型较好地预测了退化15天和30天的刚度值,但61天和90天的刚度值存在差异。这种差异可能是由于数值模型没有考虑任何水包裹体干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Micro and Nano-Manufacturing
Journal of Micro and Nano-Manufacturing ENGINEERING, MANUFACTURING-
CiteScore
2.70
自引率
0.00%
发文量
12
期刊介绍: The Journal of Micro and Nano-Manufacturing provides a forum for the rapid dissemination of original theoretical and applied research in the areas of micro- and nano-manufacturing that are related to process innovation, accuracy, and precision, throughput enhancement, material utilization, compact equipment development, environmental and life-cycle analysis, and predictive modeling of manufacturing processes with feature sizes less than one hundred micrometers. Papers addressing special needs in emerging areas, such as biomedical devices, drug manufacturing, water and energy, are also encouraged. Areas of interest including, but not limited to: Unit micro- and nano-manufacturing processes; Hybrid manufacturing processes combining bottom-up and top-down processes; Hybrid manufacturing processes utilizing various energy sources (optical, mechanical, electrical, solar, etc.) to achieve multi-scale features and resolution; High-throughput micro- and nano-manufacturing processes; Equipment development; Predictive modeling and simulation of materials and/or systems enabling point-of-need or scaled-up micro- and nano-manufacturing; Metrology at the micro- and nano-scales over large areas; Sensors and sensor integration; Design algorithms for multi-scale manufacturing; Life cycle analysis; Logistics and material handling related to micro- and nano-manufacturing.
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