Płodzień Marcin, Żyłka Łukasz, Wydra Michał, Rusinek Rafał
Department of Manufacturing Techniques and Automation, The Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, W. Pola Str. 2, 35-959 Rzeszow, Poland.
Department of Applied Informatics, The Faculty of Mathematics and Information Technology, Lublin University of Technology, Nadbystrzycka 38, 20-618 Lublin, Poland.
Materials (Basel). 2025 Aug 11;18(16):3768. doi: 10.3390/ma18163768.
This study investigates the influence of cutting edge geometry (continuous, serrated, and wavy) and selected machining parameters (cutting speed , feed per tooth , and radial infeed ) on cutting-force components and dynamic behavior during the milling of an AlZn5.5MgCu aluminum alloy. The analysis was based on box plots and Recurrence Quantification Analysis (RQA) applied to the cutting-force signal. The results demonstrated that serrated and wavy-edge tools generated significantly lower values of the normal force component F-up to -57% on average-compared to the continuous-edge tool, particularly at lower and , indicating enhanced process dynamics. At higher values, however, these tools induced increased signal variability-up to 300% greater-suggesting potential resonance excitation. RQA indicators, such as DET, Lmax, and LAM, revealed a strong dependence of system dynamics on tool edge geometry. Linear Discriminant Analysis (LDA) confirmed that RQA measures effectively distinguish between cutting-edge types. The study concludes that tooldge geometry substantially affects milling process stability and can be purposefully selected to optimize performance under varying machining conditions.
本研究调查了切削刃几何形状（连续、锯齿状和波浪状）以及选定的加工参数（切削速度、每齿进给量和径向切入量）对AlZn5.5MgCu铝合金铣削过程中切削力分量和动态行为的影响。该分析基于应用于切削力信号的箱线图和递归量化分析（RQA）。结果表明，与连续刃刀具相比，锯齿状和波浪状刃刀具产生的法向力分量F的值显著更低，平均低至57%，尤其是在较低的切削速度和每齿进给量时，这表明加工过程动态性增强。然而，在较高的切削速度值时，这些刀具会导致信号变异性增加，高达300%，这表明可能存在共振激发。RQA指标，如DET、Lmax和LAM，揭示了系统动态性对刀具刃几何形状的强烈依赖性。线性判别分析（LDA）证实，RQA测量有效地区分了切削刃类型。该研究得出结论，刀具刃几何形状对铣削过程稳定性有重大影响，可以有目的地选择以在不同加工条件下优化性能。
