钛镍合金
假弹性
形状记忆合金
材料科学
融合
过程(计算)
微观结构
机械工程
计算机科学
复合材料
工程类
马氏体
语言学
操作系统
哲学
作者
Shuo Qu,Liqiang Wang,Junhao Ding,Jin Fu,Shiming Gao,Qingping Ma,Hui Liu,M.W. Fu,Yang Lu,Xu Song
出处
期刊:Micromachines
[Multidisciplinary Digital Publishing Institute]
日期:2023-07-18
卷期号:14 (7): 1436-1436
被引量:7
摘要
Additive manufacturing (AM) was recently developed for building intricate devices in many fields. Especially for laser powder bed fusion (LPBF), its high-precision manufacturing capability and adjustable process parameters are involved in tailoring the performance of functional components. NiTi is well-known as smart material utilized widely in biomedical fields thanks to its unique superelastic and shape-memory performance. However, the properties of NiTi are extremely sensitive to material microstructure, which is mainly determined by process parameters in LPBF. In this work, we choose a unique NiTi intricate component: a robotic cannula tip, in which material superelasticity is a crucial requirement as the optimal object. First, the process window was confirmed by printing thin walls and bulk structures. Then, for optimizing parameters precisely, a Gyroid-type sheet triply periodic minimal-surface (G-TPMS) structure was proposed as the standard test sample. Finally, we verified that when the wall thickness of the G-TPMS structure is smaller than 130 μm, the optimal energy density changes from 167 J/m3 to 140 J/m3 owing to the lower cooling rate of thinner walls. To sum up, this work puts forward a novel process optimization methodology and provides the processing guidelines for intricate NiTi components by LPBF.
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