Viderščak Dalibor, Schauperl Zdravko, Runje Biserka, Šolić Sanja, Ćatić Amir, Godec Matjaž, Paulin Irena, Donik Črtomir
Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, Croatia.
Department of Mechanical Engineering, University North, Jurja Križanića 31b, 42000 Varaždin, Croatia.
Materials (Basel). 2024 Oct 12;17(20):4993. doi: 10.3390/ma17204993.
This research explores how variations in laser powder bed fusion (LPBF) parameters-laser power (), scanning speed (), and base plate preheating temperature ()-affect the mechanical properties of the EOS Co-Cr SP2 dental alloy. A central composite design (CCD) was used to optimize the process parameters. Mechanical testing focused on crucial properties for dental applications, including yield strength (), elongation (), toughness (), and flexural strength (). Microstructural analysis was conducted using light and electron microscopy, while XRD identified microstructural phases. Statistical analysis (ANOVA, Scheffé post hoc test, α = 0.05) revealed significant effects of , , and on the mechanical properties. Response surface models (RSMs) were developed, and optimal parameters were determined to achieve maximum toughness and flexural strength. Maximum values were obtained with laser power above 205 W and base plate preheating at 310 °C. The mathematical model predicted toughness values with less than 5% deviation from experimental results, indicating high accuracy.
本研究探讨激光粉末床熔融（LPBF）参数——激光功率（）、扫描速度（）和基板预热温度（）的变化如何影响EOS Co-Cr SP2牙科合金的力学性能。采用中心复合设计（CCD）来优化工艺参数。力学测试聚焦于牙科应用的关键性能，包括屈服强度（）、伸长率（）、韧性（）和弯曲强度（）。使用光学显微镜和电子显微镜进行微观结构分析，同时通过X射线衍射（XRD）确定微观结构相。统计分析（方差分析、谢费尔事后检验，α = 0.05）表明，、和对力学性能有显著影响。建立了响应面模型（RSM），并确定了实现最大韧性和弯曲强度的最佳参数。激光功率高于205 W且基板预热温度为310 °C时可获得最大值。数学模型预测的韧性值与实验结果的偏差小于5%，表明准确性较高。
