Hybrid-hybrid turning of micro-SiCp/AA2124 composites: A comparative study of laser-and-ultrasonic vibration-assisted machining
Hybrid-hybrid turning of micro-SiCp/AA2124 composites: A comparative study of laser-and-ultrasonic vibration-assisted machining
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DOI：
10.1016/j.jmapro.2022.12.045
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发表时间：
2023-01-04
影响因子：
6.2
通讯作者：
Silberschmidt, Vadim V.
中科院分区：
文献类型：
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作者：
Kim, Jin;Zani, Lorenzo;Silberschmidt, Vadim V.
微SiCp/AA 2124复合材料的加工仍然是一个挑战，传统的加工产生的表面质量差，刀具磨损高。在本文中，我们研究了两种不同的和独特的混合加工工艺，目的是提高三种类型的micro-SiC/AA 2124复合材料的加工结果具有不同的颗粒体积分数和尺寸。所研究的复合材料类别已上市并正在工业应用中使用，因此评估加工结果变得更加相关。振动加工，其中的工具是振动在超声频率，被称为超声辅助车削（UAT），已被证明产生一些明显的改善加工。接下来，我们将激光辅助与诱导热软化的过程区的目标。这种混合-混合加工工艺被称为激光超声辅助车削（LUAT），具有显著降低加工力和改善表面拓扑结构的潜力，可改善加工结果。我们的研究表明，最佳的激光功率存在于每种类型的金属基复合材料考虑颗粒增强材料的颗粒尺寸和体积分数产生的好处方面的加工力降低，表面拓扑结构的改善和潜在的工具寿命提高。此外，一个计算加工模型，可用于预测加工结果与可变的加工参数。
Machining of micro SiCp/AA2124 composites remains a challenge with conventional machining yielding poor surface quality with high tool wear. In this paper, we study two distinct and unique hybrid machining processes with the aim of improving the machining outcome of three types of micro-SiC/AA2124 composites with different particulate volume fractions and sizes. The class of composites studied is available commercially and is being used in industrial applications, thus assessing the machining outcomes becomes even more pertinent. Vibratory machining where the tool is made to vibrate at ultrasonic frequencies, known as ultrasonically assisted turning (UAT), is shown to yield some clear improvements in machining. Next, we incorporate laser assistance with the goal of inducing thermal softening in the process zone. This hybrid-hybrid machining process which is referred to as laser-ultrasonic-assisted turning (LUAT) has the potential for improved machining outcomes with significantly reduced machining forces and surface topology improvement. Our studies indicate that an optimum laser power exists for each type of metal matrix composite considering the particle size and volume fraction of the particulate reinforcements yielding benefits in terms of machining force reduction, surface topology improvement and potentially tool life enhancement. In addition, a computational machining model was developed which can be used to predict the machining outcomes with variable machining parameters.