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Region adaptive scheduling for time-dependent processes with optimal use of machine dynamics
International Journal of Machine Tools and Manufacture ( IF 14.0 ) Pub Date : 2020-06-23 , DOI: 10.1016/j.ijmachtools.2020.103589
Yanjun Han , Wu-Le Zhu , Lei Zhang , Anthony Beaucamp

In time-dependent processes, such as bonnet and fluid jet polishing, surface quality and accurate processing critically depend on careful planning of the tool feed. CNC feedrate commands are usually generated from a dwell time map calculated by deconvolution or numerical iteration. These methods are time-consuming, numerically unstable, and fail to consider dynamic stressing of the machine tool. In this research, Gaussian mixture model (GMM) is proposed to model experimental tool influence functions (TIF). This leads to a general analytical convolution model integrating processing depth, volumetric removal rate of TIF, path spacing and feedrate. Based on this model, a novel direct feedrate scheduling method is proposed, which is suitable for any kind of smooth time-dependent processing beam. Optimal feedrate scheduling within dynamic constraints of the machine tool is achieved by establishing acceptable path spacing and feed ranges, whilst dynamic stressing of the machine tool is optimized concurrently through adaptive path spacing. Simulations and experiments demonstrate the enhanced stability and usefulness of the proposed feedrate model in deterministic material removal. It also verifies that path adaptability allows for improved machine tool dynamics, without incurring a process accuracy penalty.



中文翻译:

区域自适应调度,用于时间相关的过程,可最佳利用机器动力学

在阀盖和流体喷射抛光等随时间变化的过程中,表面质量和精确的加工过程主要取决于对刀具进给的仔细计划。CNC进给率命令通常从通过反卷积或数值迭代计算的停留时间图生成。这些方法耗时,数值不稳定并且不能考虑机床的动态应力。在这项研究中,提出了高斯混合模型(GMM)对实验工具影响函数(TIF)进行建模。这导致了一个综合分析卷积模型,该模型集成了处理深度,TIF的体积去除率,路径间距和进给率。在此模型的基础上,提出了一种新颖的直接进给率调度方法,该方法适用于任何一种平滑的,与时间有关的平稳加工光束。通过建立可接受的路径间距和进给范围,可以在机床动态约束范围内实现最佳进给率调度,同时通过自适应路径间距同时优化机床的动态应力。仿真和实验表明,所提出的进给率模型在确定性材料去除中具有更高的稳定性和实用性。它还验证了路径适应性可以改善机床的动力学性能,而不会造成过程精度的损失。

更新日期:2020-06-23
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