Yin Qingan, Chen Hui, Chen Jianxiong, Xie Yu, Shen Ming, Huang Yuhua
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
School of Mathematics and Statistics, Fuzhou University, Fuzhou 350108, China.
Materials (Basel). 2024 Aug 25;17(17):4206. doi: 10.3390/ma17174206.
Due to its exceptional mechanical and chemical properties at high temperatures, Inconel 718 is extensively utilized in industries such as aerospace, aviation, and marine. Investigating the flow behavior of Inconel 718 under high strain rates and high temperatures is vital for comprehending the dynamic characteristics of the material in manufacturing processes. This paper introduces a physics-based constitutive model that accounts for dislocation motion and its density evolution, capable of simulating the plastic behavior of Inconel 718 during large strain deformations caused by machining processes. Utilizing a microstructure-based flow stress model, the machinability of Inconel 718 in terms of cutting forces and temperatures is quantitatively predicted and compared with results from orthogonal cutting experiments. The model's predictive precision, with a margin of error between 5 and 8%, ensures reliable consistency and enhances our comprehension of the high-speed machining dynamics of Inconel 718 components.
由于Inconel 718在高温下具有卓越的机械和化学性能，它在航空航天、航空和船舶等行业得到广泛应用。研究Inconel 718在高应变率和高温下的流动行为对于理解该材料在制造过程中的动态特性至关重要。本文介绍了一种基于物理的本构模型，该模型考虑了位错运动及其密度演化，能够模拟Inconel 718在加工过程引起的大应变变形期间的塑性行为。利用基于微观结构的流动应力模型，定量预测了Inconel 718在切削力和温度方面的可加工性，并与正交切削实验结果进行了比较。该模型的预测精度在5%至8%的误差范围内，确保了可靠的一致性，并增强了我们对Inconel 718部件高速加工动力学的理解。
