材料科学
极限抗拉强度
响应面法
选择性激光熔化
奥氏体
延伸率
钛镍合金
马氏体
合金
相(物质)
复合材料
拉伸试验
冶金
形状记忆合金
微观结构
机器学习
有机化学
化学
计算机科学
作者
Guangfeng Shi,Lunxiang Li,Zhenglei Yu,Ruiyao Liu,Pengwei Sha,Zezhou Xu,Yunting Guo,Rui Xi,Jia‐Bao Liu,Renlong Xin,Lixin Chen,Xiebin Wang,Zhihui Zhang
标识
DOI:10.1016/j.jmapro.2022.03.027
摘要
In this work, response surface methodology (RSM), as a reliable and cheap prediction tool, was developed to establish a quadratic regression model between selective laser melting (SLM) process parameters and the martensite transformation temperatures (MTTs) of SLM-NiTi alloys during SLM process. In the case of martensite start temperature (Ms) and austenite finish temperature (Af), analyzing the result of RSM illustrated that the average error percentage between the predicted and experimental results are within 7.42 ± 0.45% and 3.83 ± 0.23%, respectively. Besides, we show that the interaction of laser power (P) and scanning speed (v) have a remarkable impact not only on MTTs but also on tensile properties and tensile recovery strain of SLM-fabricated NiTi samples. With the decrease of P and the increase of v, the Ms and Af decrease, respectively. The tensile experimental results showed that the group of 150 W samples equipped with high elongation, in which the highest elongation up to 12 ± 0.4%, but the high tensile recovery strain was presented in the 100 W series. This study provided a new-fangled insight for how process parameters modulate phase transformations and mechanical properties in the SLM fabricated NiTi, which can be conducted to target mechanical properties for different applications.
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