An improved tool–holder model for RCSA tool-point frequency response prediction

An improved tool–holder model for RCSA tool-point frequency response prediction
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DOI:
10.1016/j.precisioneng.2008.03.003
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发表时间:
2009
影响因子:
3.6
通讯作者:
Sinan Filiz;C. Cheng;K. Powell;T. Schmitz;O. B. Ozdoganlar
Sinan Filiz;C. Cheng;K. Powell;T. Schmitz;O. B. Ozdoganlar
中科院分区:
工程技术2区
文献类型:
--
作者:
Sinan Filiz;C. Cheng;K. Powell;T. Schmitz;O. B. Ozdoganlar

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除了机床和主轴的精确运动学运动之外,加工精密零件还需要控制刀具尖端相对于工件的动态行为。刀具尖端动力学的高保真度模型可用于选择通过减少振动影响来提高精度的操作参数。为了有效地模拟任意的工具和保持器组合使用的接收耦合子结构分析(RCSA)技术,工具保持器动态的高精度和数值效率的模型是必要的。在本文中,我们提出了一个工具架模型,它结合了光谱切比雪夫技术与Keschenko梁方程,以获得一个完全参数化的解决方案。刀柄模型的三维有限元解的比较表明,动态行为捕获具有足够的精度。然后,通过RCSA将刀架模型与实验确定的主轴-机床动力学耦合,以实现刀尖动力学模型。耦合模型进行了验证,通过实验为三个不同的工具悬伸长度。所提出的技术可用于预测不同的工具和保持器组合的工具尖端动力学和优化研究,而不需要大量的实验。
In addition to the precise kinematic motions of the machine tools and spindles, machining accurate parts necessitates controlling the dynamic behavior of the tool tip with respect to the workpiece. High-fidelity models of tool-tip dynamics can be used to select operating parameters that improve the accuracy by reducing the effect of vibrations. To effectively model the tool-tip dynamics for arbitrary tool-and-holder combinations using the receptance coupling substructure analysis (RCSA) technique, highly accurate and numerically efficient models of the tool–holder dynamics are needed. In this paper, we present a tool–holder model that incorporates a spectral-Tchebychev technique with the Timoshenko beam equation to obtain a completely parameterized solution. Comparison of the tool–holder model to a three-dimensional finite elements solution shows that the dynamic behavior is captured with sufficient accuracy. The tool–holder model is then coupled with the experimentally determined spindle–machine dynamics through RCSA to realize a model of the tool-tip dynamics. The coupled model is validated through experiments for three different tool overhang lengths. The presented technique can be used to predict the tool-tip dynamics for different tool-and-holder combinations and for optimization studies without the need for extensive experimentation.