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3D finite element simulation of micro end-milling by considering the effect of tool run-out

机译:考虑刀具跳动影响的微型立铣刀的3D有限元模拟

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摘要

Understanding the micro milling phenomena involved in the process is critical and difficult through physical experiments. This study presents a 3D finite element modeling (3D FEM) approach for the micro end-milling process on Al6082-T6. The proposed model employs a Lagrangian explicit finite element formulation to perform coupled thermo-mechanical transient analyses. FE simulations were performed at different cutting conditions to obtain realistic numerical predictions of chip formation, temperature distribution, and cutting forces by considering the effect of tool run-out in the model. The radial run-out is a significant issue in micro milling processes and influences the cutting stability due to chip load and force variations. The Johnson-Cook (JC) material constitutive model was applied and its constants were determined by an inverse method based on the experimental cutting forces acquired during the micro end-milling tests. The FE model prediction capability was validated by comparing the numerical model results with experimental tests. The maximum tool temperature was predicted in a different angular position of the cutter which is difficult or impossible to obtain in experiments. The predicted results of the model, involving the run-out influence, showed a good correlation with experimental chip formation and the signal shape of cutting forces.
机译:通过物理实验,了解该过程中涉及的微铣削现象非常关键且困难。这项研究为Al6082-T6的微细铣削过程提供了一种3D有限元建模(3D FEM)方法。所提出的模型采用拉格朗日显式有限元公式来执行热力耦合瞬态分析。通过在模型中考虑刀具跳动的影响,在不同的切削条件下进行了有限元模拟,以获得切屑形成,温度分布和切削力的真实数值预测。径向跳动是微铣削加工中的重要问题,并且由于切屑载荷和力的变化而影响切削稳定性。应用了Johnson-Cook(JC)材料本构模型,并根据微细铣削测试过程中获得的实验切削力,通过逆方法确定了其常数。通过将数值模型结果与实验测试进行比较,验证了有限元模型的预测能力。在刀具的不同角度位置预测了最高工具温度,这在实验中很难或不可能获得。该模型的预测结果涉及跳动影响,与实验切屑形成和切削力的信号形状具有良好的相关性。

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