Abstract
Normally large amounts of particles are required to accurately simulate the metal cutting process, which consumes a lot of computing time and storage. Adaptive techniques can help decrease the number of particles, hence reducing the runtime. This paper presents a novel adaptive smoothed particle hydrodynamics (SPH) method for the metal cutting simulation. The spatial resolution changes adaptively according to the distance to the tool tip by the particle splitting and merging. More particles are selected in the region where the workpiece and the tool are in contact. Since the contact region constantly changes during the cutting process, two quadrilateral frames are adopted in the adaptive algorithm to dynamically change the distribution of particles. One frame for the refinement, the other for the coarsening. These frames move at the same speed as the tool. To test the computational efficiency, the metal cutting process is simulated by using SPH with three different adaptive approaches. Numerical results show that the proposed adaptive algorithm with dynamic refinement and coarsening can significantly optimize the runtime.
摘要
准确模拟金属切削过程通常需要大量的仿真粒子, 这将耗费大量的计算时间和存储空间. 自适应技术有助于降低所需粒子的数量, 从而减少运行时间. 本文提出了一种自适应光滑粒子流体动力学方法, 用于金属切削仿真. 在模拟切削时, 定义刀具与工件接触的邻近范围作为局部关键区域, 动态分裂内部区域的粒子, 合并流出区域的粒子. 由于接触区域在切削过程中不断变化, 自适应算法采用两个四边形框架动态改变粒子的分布, 一个用于细化, 另一个用于粗化. 这些框架的移动速度与刀具相同. 为了验证计算效率, 采用三种不同的自适应方案对金属切削过程进行了模拟. 数值结果表明, 所提出的自适应算法具有动态细化和粗化功能, 能显著优化运行时间.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant Nos. 12002290 and 11772274).
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YiJin Cheng designed the research, performed the simulation, processed the data and wrote the first draft of the manuscript. Yan Li and Zhi-Qiang Feng acquired the financial support for the project leading to this publication and oversighted and leadership responsibility for the research activity planning and execution. Yan Li, Ling Tao, Pierre Joli and Zhi-Qiang Feng helped check the manuscript. YiJin Cheng revised and edited the final version.
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Cheng, Y., Li, Y., Tao, L. et al. An adaptive smoothed particle hydrodynamics for metal cutting simulation. Acta Mech. Sin. 38, 422126 (2022). https://doi.org/10.1007/s10409-022-22126-x
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DOI: https://doi.org/10.1007/s10409-022-22126-x