This work presents a numerical strategy to predict efficiently cutting tool wear in longitudinal turning. The full 3D cutting tool is discretized in elementary 2D sections. A FE based procedure is developed to compute in parallel the local contact pressure and sliding velocity along each section and update the tool profiles based on a tribologically identified wear equation. Results are merged to generate the 3D worn tool geometry while an iterative scheme is applied to achieve long simulated cutting time. Experimental cutting tests shown that a good agreement can be achieved in a reasonable computation time without any tuning parameter.

中文翻译：

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一种有效预测 AISI 1045 钢纵向车削刀具磨损的 3D 建模策略

这项工作提出了一种有效预测纵向车削刀具磨损的数值策略。完整的 3D 切割工具在基本 2D 截面中离散化。开发了一种基于有限元的程序来并行计算沿每个部分的局部接触压力和滑动速度，并根据摩擦学识别的磨损方程更新工具轮廓。合并结果以生成 3D 磨损刀具几何形状，同时应用迭代方案以实现较长的模拟切削时间。实验切割测试表明，在没有任何调整参数的情况下，可以在合理的计算时间内实现良好的一致性。