In the present study, a 30 W Q-switched fiber laser was adopted for milling 2024 aluminium alloy sheet 2 mm in thickness. Square pockets, 10 × 10 mm² in plane dimension, were machined at the maximum nominal average power (30 W), under different laser processing parameters: scan speed, hatching distance, pulse energy and repetitions. After machining, the achieved depth (Depth) and roughness (Ra) were measured by way of a 3D surface profiling system. In addition, the material removal rate (MRR) was calculated as the ratio between the removed volume/process time. Analysis of Variance was adopted to assess the effect of the process parameters on the Depth, Ra and MRR. Response Surface Methodology (RSM) was adopted to model the process behaviours; the roughness and MRR were found to be strictly related to the machined depth. In the end, Multi-Response Optimisation (MRO) methodology was adopted to individuate the optimal process conditions allowing the process conditions able to produce the desired depths with the minimum roughness at the maximum MRR.

在本研究中，采用30 W调Q光纤激光器对厚度为2 mm的2024铝合金板进行铣削。方袋，10×10 mm ²在平面尺寸上，是在不同的激光加工参数（扫描速度，影线距离，脉冲能量和重复频率）下以最大标称平均功率（30 W）进行加工的。加工后，通过3D表面轮廓分析系统测量所达到的深度（深度）和粗糙度（Ra）。另外，材料去除率（MRR）被计算为去除体积/处理时间之间的比率。采用方差分析来评估工艺参数对深度，Ra和MRR的影响。采用响应面方法（RSM）对过程行为进行建模。发现粗糙度和MRR与加工深度严格相关。到底，