Fatigue investigation of 3D-printed notched PLA specimens by Thermographic methods with FEM Simulation Integration

Reza Ahmadi , Danilo D'Andrea , Dario Santonocito , Giacomo Risitano
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引用次数: 0

Abstract

Additive manufacturing (AM) technology, particularly for polymers, as versatile technology, becomes increasingly important in various fields, especially in medical and healthcare. The wide usage of 3D printed parts and layer-by-layer nature of them introduces unique considerations for potential fatigue-related issues, therefore, fatigue crack propagation and material failure are significant concerns when it comes to the long-term performance and reliability of such components. In this context, thermography can help identify areas of localized heating that could indicate the initiation and propagation of fatigue cracks. Energy Methods are time-efficient and requires fewer specimens compared to conventional fatigue testing methods which can provide valuable insights to the design and printing parameters to enhance the fatigue performance. In this research, after modelling different types notched dog-bone specimens, they were printed with FDM printer using PLA material and similar setting parameters. After that, 3D printed specimens were subjected to static tensile loading and stepwise fatigue tests monitoring the energy release to assess their fatigue behaviour. Additionally, we employed ACP module in Ansys to model notched specimens, calculating stresses within different layers.

利用热成像方法和有限元模拟集成对三维打印缺口聚乳酸试样进行疲劳研究
快速成型制造(AM)技术,尤其是聚合物快速成型制造技术,作为一种多功能技术,在各个领域,特别是医疗和保健领域变得越来越重要。3D 打印部件的广泛使用和逐层打印的特性为潜在的疲劳相关问题带来了独特的考虑因素,因此,疲劳裂纹扩展和材料失效是此类部件长期性能和可靠性的重大问题。在这种情况下,热成像技术可以帮助识别局部发热区域,这些区域可能预示着疲劳裂纹的产生和扩展。与传统的疲劳测试方法相比,能量法具有时间效率高、所需试样少的特点,可为提高疲劳性能的设计和印刷参数提供有价值的见解。在这项研究中,在对不同类型的切口狗骨试样进行建模后,使用聚乳酸材料和类似的设置参数,用 FDM 打印机打印了这些试样。然后,对 3D 打印试样进行静态拉伸加载和分步疲劳测试,监测能量释放情况,以评估其疲劳性能。此外,我们还使用 Ansys 中的 ACP 模块对缺口试样进行建模,计算不同层内的应力。
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CiteScore
1.70
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