搅拌摩擦加工
材料科学
同质性(统计学)
沉积(地质)
工艺优化
微观结构
进程窗口
过程变量
弹性成像
压痕硬度
制作
复合材料
过程(计算)
计算机科学
超声波
声学
替代医学
环境工程
病理
工程类
生物
操作系统
古生物学
机器学习
医学
物理
平版印刷术
光电子学
沉积物
作者
Yuqi Jin,Tianhao Wang,Tingkun Liu,Teng Yang,Shelden Dowden,Arup Neogi,Narendra B. Dahotre
标识
DOI:10.1016/j.ijmachtools.2023.104113
摘要
As one of the most novel additive manufacturing methods, currently selection and optimization of processing parameters in additive friction stir deposition (AFSD) have mainly relied on experiments and subsequent characterization of microstructural and mechanical properties. Such approaches are both time- and resource-consuming. Therefore, an ultrasound elastography enhanced gradient process parameter optimization method was applied in the present work to obtain a window of optimized processing parameters for AFSD processing of aluminum alloy by varying both rotational and linear deposition speeds. The quality of AFSD processed layer was investigated for physical nature of surface, dynamic elastic modulus, and microstructural aspects in cross-sections of the deposited layer. The efficiency in exploring process parameters was significantly enhanced by implementing a high-throughput screening experimental design based on application of gradient process parameters and continuous ultrasound elastographs. In addition, the applied ultrasonic elastography technique assisted in evaluating the homogeneity in microstructure and mechanical properties of AFSD sample over the entire gradients of the process parameters. The techniques adopted in current work can be further extended to identify suitable parameters for AFSD fabrication of components with desired mechanical properties such as hardness, fatigue, etc.
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